QC.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qbXF7MRgnfvB"
      },
      "source": [
        "# Model Monitoring for Cardiac Image Segmentation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GclE54X-pk8d",
        "outputId": "12f442d4-3b16-4dcb-9e3f-db8b3543f594"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "GPU 0: Tesla K80 (UUID: GPU-b4115645-3004-b614-f7f6-422c229167a9)\n"
          ]
        }
      ],
      "source": [
        "!nvidia-smi -L"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "BjeEPud0PKpW"
      },
      "outputs": [],
      "source": [
        "import random\n",
        "import numpy as np\n",
        "import torch\n",
        "\n",
        "random.seed(0)\n",
        "np.random.seed(0)\n",
        "torch.manual_seed(0)\n",
        "torch.cuda.manual_seed(0)\n",
        "torch.cuda.manual_seed_all(0)\n",
        "torch.backends.cudnn.deterministic = True\n",
        "torch.backends.cudnn.benchmark = False"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3JDznSZY9fyQ"
      },
      "source": [
        "## Install requirements"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SoUFHZx8qLje"
      },
      "source": [
        "#### batchgenerators"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "YMpIgch7p2ks",
        "outputId": "465c21fb-4bb9-4296-d290-bbe93dd543e6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting batchgenerators\n",
            "  Downloading batchgenerators-0.23.tar.gz (57 kB)\n",
            "\u001b[?25l\r\u001b[K     |█████▊                          | 10 kB 18.5 MB/s eta 0:00:01\r\u001b[K     |███████████▍                    | 20 kB 18.9 MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 30 kB 21.2 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▉         | 40 kB 12.2 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▌   | 51 kB 5.9 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 57 kB 2.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pillow>=7.1.2 in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (7.1.2)\n",
            "Requirement already satisfied: numpy>=1.10.2 in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (1.21.5)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (1.4.1)\n",
            "Requirement already satisfied: scikit-image in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (0.18.3)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (1.0.2)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (0.16.0)\n",
            "Collecting unittest2\n",
            "  Downloading unittest2-1.1.0-py2.py3-none-any.whl (96 kB)\n",
            "\u001b[K     |████████████████████████████████| 96 kB 3.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: threadpoolctl in /usr/local/lib/python3.7/dist-packages (from batchgenerators) (3.1.0)\n",
            "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->batchgenerators) (2.6.3)\n",
            "Requirement already satisfied: imageio>=2.3.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->batchgenerators) (2.4.1)\n",
            "Requirement already satisfied: PyWavelets>=1.1.1 in /usr/local/lib/python3.7/dist-packages (from scikit-image->batchgenerators) (1.2.0)\n",
            "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-image->batchgenerators) (3.2.2)\n",
            "Requirement already satisfied: tifffile>=2019.7.26 in /usr/local/lib/python3.7/dist-packages (from scikit-image->batchgenerators) (2021.11.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->batchgenerators) (3.0.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->batchgenerators) (1.3.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->batchgenerators) (0.11.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->batchgenerators) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib!=3.0.0,>=2.0.0->scikit-image->batchgenerators) (1.15.0)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->batchgenerators) (1.1.0)\n",
            "Collecting traceback2\n",
            "  Downloading traceback2-1.4.0-py2.py3-none-any.whl (16 kB)\n",
            "Collecting argparse\n",
            "  Downloading argparse-1.4.0-py2.py3-none-any.whl (23 kB)\n",
            "Collecting linecache2\n",
            "  Downloading linecache2-1.0.0-py2.py3-none-any.whl (12 kB)\n",
            "Building wheels for collected packages: batchgenerators\n",
            "  Building wheel for batchgenerators (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for batchgenerators: filename=batchgenerators-0.23-py3-none-any.whl size=84779 sha256=087a8d864143ce65999039faa79ab443e0c5dbd3734746f1fba080ef1d1c358f\n",
            "  Stored in directory: /root/.cache/pip/wheels/81/3d/a2/9a602ce56458c684d2962ec89eddd6bc06b00687735e2dd11a\n",
            "Successfully built batchgenerators\n",
            "Installing collected packages: linecache2, traceback2, argparse, unittest2, batchgenerators\n",
            "Successfully installed argparse-1.4.0 batchgenerators-0.23 linecache2-1.0.0 traceback2-1.4.0 unittest2-1.1.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "argparse"
                ]
              }
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "!pip install --upgrade batchgenerators"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7PBZD5rJBLw2"
      },
      "source": [
        "#### medpy"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "app4iyyBgQRL",
        "outputId": "10ead4a8-808a-46f1-b9aa-7d75aea8d3d7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting medpy\n",
            "  Downloading MedPy-0.4.0.tar.gz (151 kB)\n",
            "\u001b[K     |████████████████████████████████| 151 kB 4.2 MB/s \n",
            "\u001b[?25hRequirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from medpy) (1.4.1)\n",
            "Requirement already satisfied: numpy>=1.11.0 in /usr/local/lib/python3.7/dist-packages (from medpy) (1.21.5)\n",
            "Collecting SimpleITK>=1.1.0\n",
            "  Downloading SimpleITK-2.1.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (48.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 48.4 MB 2.5 MB/s \n",
            "\u001b[?25hBuilding wheels for collected packages: medpy\n",
            "  Building wheel for medpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for medpy: filename=MedPy-0.4.0-cp37-cp37m-linux_x86_64.whl size=754464 sha256=cc77f590a43e4f6c597065a1e4bbc5ae90e1a37ab1e93a49e73212731c34aa43\n",
            "  Stored in directory: /root/.cache/pip/wheels/b0/57/3a/da1183f22a6afb42e11138daa6a759de233fd977a984333602\n",
            "Successfully built medpy\n",
            "Installing collected packages: SimpleITK, medpy\n",
            "Successfully installed SimpleITK-2.1.1 medpy-0.4.0\n"
          ]
        }
      ],
      "source": [
        "!pip install medpy"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l1f_kgr-BNmb"
      },
      "source": [
        "#### nibabel"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "app4iyyBgQRS",
        "outputId": "8e118ece-d557-46e9-aebb-e4377240cb5a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: nibabel in /usr/local/lib/python3.7/dist-packages (3.0.2)\n",
            "Requirement already satisfied: numpy>=1.12 in /usr/local/lib/python3.7/dist-packages (from nibabel) (1.21.5)\n"
          ]
        }
      ],
      "source": [
        "!pip install nibabel"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x_ybwFnEnm5y"
      },
      "source": [
        "## Import data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "splPGda_85Cw",
        "outputId": "b6075229-f8a8-4f75-87fb-5fadad4ac1c9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'quality_control_CMR'...\n",
            "remote: Enumerating objects: 155, done.\u001b[K\n",
            "remote: Counting objects: 100% (155/155), done.\u001b[K\n",
            "remote: Compressing objects: 100% (150/150), done.\u001b[K\n",
            "remote: Total 155 (delta 86), reused 4 (delta 3), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (155/155), 845.91 KiB | 5.60 MiB/s, done.\n",
            "Resolving deltas: 100% (86/86), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/manigalati/quality_control_CMR"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N28BmlNT85Fs",
        "outputId": "59f1cf92-0201-4781-e77d-a8fd819d3227"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/quality_control_CMR\n"
          ]
        }
      ],
      "source": [
        "%cd /content/quality_control_CMR"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "def get_download_model_command(file_id, file_name):\n",
        "    save_path = os.getcwd()\n",
        "    url = r\"\"\"wget --load-cookies /tmp/cookies.txt \"https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id={FILE_ID}' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\\1\\n/p')&id={FILE_ID}\" -O {SAVE_PATH}/{FILE_NAME} && rm -rf /tmp/cookies.txt\"\"\".format(FILE_ID=file_id, FILE_NAME=file_name, SAVE_PATH=save_path)\n",
        "    return url"
      ],
      "metadata": {
        "id": "YbjizU383MDS"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "MODEL_PATHS = {\n",
        "    \"training\": {\"id\": \"13jEZ9a5dzrFxSofUXCiSXeMveJpyMNRI\", \"name\": \"data/training.zip\"},\n",
        "    \"testing\": {\"id\": \"1r_wS2SxFxBiEfM1JXCWrzzTZcQMnJMbz\", \"name\": \"data/testing.zip\"},\n",
        "    \"predictions\": {\"id\": \"1ikG9S8mzw4ZUgbnAxnm08gfBtkub1xNp\", \"name\": \"data/predictions.zip\"},\n",
        "    \"measures\": {\"id\": \"1Flrl9hjbhW2Vwgd7E1mh07_yFxFOjAVT\", \"name\": \"data/measures.zip\"}\n",
        "}\n",
        "\n",
        "!mkdir data\n",
        "\n",
        "for path in MODEL_PATHS.values():\n",
        "    download_command = get_download_model_command(file_id=path[\"id\"], file_name=path[\"name\"])\n",
        "    !{download_command}"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KCT8l7vG3eGo",
        "outputId": "bbb55034-3b78-4260-855e-61a38d9844cb"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-03-14 09:00:30--  https://docs.google.com/uc?export=download&confirm=t&id=1bxRj0zf-iMooYA4jUZS_zS4VD9NLYxE4\n",
            "Resolving docs.google.com (docs.google.com)... 108.177.125.138, 108.177.125.100, 108.177.125.101, ...\n",
            "Connecting to docs.google.com (docs.google.com)|108.177.125.138|:443... connected.\n",
            "HTTP request sent, awaiting response... 303 See Other\n",
            "Location: https://doc-08-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/i2vrvdutodaagvvknpbs4t7lir6iple8/1647248400000/09432813446314308187/*/1bxRj0zf-iMooYA4jUZS_zS4VD9NLYxE4?e=download [following]\n",
            "Warning: wildcards not supported in HTTP.\n",
            "--2022-03-14 09:00:30--  https://doc-08-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/i2vrvdutodaagvvknpbs4t7lir6iple8/1647248400000/09432813446314308187/*/1bxRj0zf-iMooYA4jUZS_zS4VD9NLYxE4?e=download\n",
            "Resolving doc-08-84-docs.googleusercontent.com (doc-08-84-docs.googleusercontent.com)... 142.251.8.132, 2404:6800:4008:c15::84\n",
            "Connecting to doc-08-84-docs.googleusercontent.com (doc-08-84-docs.googleusercontent.com)|142.251.8.132|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1629508628 (1.5G) [application/x-zip-compressed]\n",
            "Saving to: ‘/content/quality_control_CMR/data/training.zip’\n",
            "\n",
            "/content/quality_co 100%[===================>]   1.52G  53.3MB/s    in 27s     \n",
            "\n",
            "2022-03-14 09:00:58 (57.0 MB/s) - ‘/content/quality_control_CMR/data/training.zip’ saved [1629508628/1629508628]\n",
            "\n",
            "--2022-03-14 09:00:58--  https://docs.google.com/uc?export=download&confirm=t&id=1L84oEmgc2Nd10bCBlaM7vkbl7nhrYC9I\n",
            "Resolving docs.google.com (docs.google.com)... 108.177.125.113, 108.177.125.139, 108.177.125.138, ...\n",
            "Connecting to docs.google.com (docs.google.com)|108.177.125.113|:443... connected.\n",
            "HTTP request sent, awaiting response... 303 See Other\n",
            "Location: https://doc-10-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/dj0k5vtlhckm0u0cs6fs43l02e4vsok4/1647248400000/09432813446314308187/*/1L84oEmgc2Nd10bCBlaM7vkbl7nhrYC9I?e=download [following]\n",
            "Warning: wildcards not supported in HTTP.\n",
            "--2022-03-14 09:00:58--  https://doc-10-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/dj0k5vtlhckm0u0cs6fs43l02e4vsok4/1647248400000/09432813446314308187/*/1L84oEmgc2Nd10bCBlaM7vkbl7nhrYC9I?e=download\n",
            "Resolving doc-10-84-docs.googleusercontent.com (doc-10-84-docs.googleusercontent.com)... 142.251.8.132, 2404:6800:4008:c15::84\n",
            "Connecting to doc-10-84-docs.googleusercontent.com (doc-10-84-docs.googleusercontent.com)|142.251.8.132|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 799300064 (762M) [application/x-zip-compressed]\n",
            "Saving to: ‘/content/quality_control_CMR/data/testing.zip’\n",
            "\n",
            "/content/quality_co 100%[===================>] 762.27M  67.6MB/s    in 13s     \n",
            "\n",
            "2022-03-14 09:01:12 (60.4 MB/s) - ‘/content/quality_control_CMR/data/testing.zip’ saved [799300064/799300064]\n",
            "\n",
            "--2022-03-14 09:01:33--  https://docs.google.com/uc?export=download&confirm=&id=1P2kNGllKUKmumaCM2IsqgIgRPAKEXa59\n",
            "Resolving docs.google.com (docs.google.com)... 108.177.125.139, 108.177.125.138, 108.177.125.101, ...\n",
            "Connecting to docs.google.com (docs.google.com)|108.177.125.139|:443... connected.\n",
            "HTTP request sent, awaiting response... 303 See Other\n",
            "Location: https://doc-08-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/10jcj87r5mou808ul07k0b4ael4t5da0/1647248475000/09432813446314308187/*/1P2kNGllKUKmumaCM2IsqgIgRPAKEXa59?e=download [following]\n",
            "Warning: wildcards not supported in HTTP.\n",
            "--2022-03-14 09:01:54--  https://doc-08-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/10jcj87r5mou808ul07k0b4ael4t5da0/1647248475000/09432813446314308187/*/1P2kNGllKUKmumaCM2IsqgIgRPAKEXa59?e=download\n",
            "Resolving doc-08-84-docs.googleusercontent.com (doc-08-84-docs.googleusercontent.com)... 142.251.8.132, 2404:6800:4008:c15::84\n",
            "Connecting to doc-08-84-docs.googleusercontent.com (doc-08-84-docs.googleusercontent.com)|142.251.8.132|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 3937301 (3.8M) [application/zip]\n",
            "Saving to: ‘/content/quality_control_CMR/data/predictions.zip’\n",
            "\n",
            "/content/quality_co 100%[===================>]   3.75M  --.-KB/s    in 0.02s   \n",
            "\n",
            "2022-03-14 09:01:54 (164 MB/s) - ‘/content/quality_control_CMR/data/predictions.zip’ saved [3937301/3937301]\n",
            "\n",
            "--2022-03-14 09:01:55--  https://docs.google.com/uc?export=download&confirm=&id=1ss-qGFEocJT-h3JAebcDjeWBQXcxPs0T\n",
            "Resolving docs.google.com (docs.google.com)... 108.177.125.139, 108.177.125.138, 108.177.125.101, ...\n",
            "Connecting to docs.google.com (docs.google.com)|108.177.125.139|:443... connected.\n",
            "HTTP request sent, awaiting response... 303 See Other\n",
            "Location: https://doc-00-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/d5vh400mevnfo233i3ao6p2t9bgiqfvk/1647248475000/09432813446314308187/*/1ss-qGFEocJT-h3JAebcDjeWBQXcxPs0T?e=download [following]\n",
            "Warning: wildcards not supported in HTTP.\n",
            "--2022-03-14 09:01:55--  https://doc-00-84-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/d5vh400mevnfo233i3ao6p2t9bgiqfvk/1647248475000/09432813446314308187/*/1ss-qGFEocJT-h3JAebcDjeWBQXcxPs0T?e=download\n",
            "Resolving doc-00-84-docs.googleusercontent.com (doc-00-84-docs.googleusercontent.com)... 142.251.8.132, 2404:6800:4008:c15::84\n",
            "Connecting to doc-00-84-docs.googleusercontent.com (doc-00-84-docs.googleusercontent.com)|142.251.8.132|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 54660 (53K) [application/x-zip-compressed]\n",
            "Saving to: ‘/content/quality_control_CMR/data/measures.zip’\n",
            "\n",
            "/content/quality_co 100%[===================>]  53.38K  --.-KB/s    in 0.001s  \n",
            "\n",
            "2022-03-14 09:01:56 (51.8 MB/s) - ‘/content/quality_control_CMR/data/measures.zip’ saved [54660/54660]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "0kuWwMhy9WaD"
      },
      "outputs": [],
      "source": [
        "!unzip -q data/training.zip -d data/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "T5b33FKK9N41"
      },
      "outputs": [],
      "source": [
        "!unzip -q data/testing.zip -d data/ \n",
        "!mv data/testing/testing data/tmp && rm -r data/testing && mv data/tmp data/testing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "g3lUB97I9N79"
      },
      "outputs": [],
      "source": [
        "!unzip -q data/predictions.zip -d data/"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "b2XvMtPFmzVI"
      },
      "outputs": [],
      "source": [
        "!unzip -q data/measures.zip -d data/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_TwrAQeLyuc5"
      },
      "source": [
        "## Data preparation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HPNK9Fv0iBDV"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import numpy as np\n",
        "from utils import generate_patient_info, preprocess"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "j5Qxqfor9lRQ"
      },
      "outputs": [],
      "source": [
        "patient_info = generate_patient_info(\"data/training/\", patient_ids=range(1, 101))\n",
        "patient_info = {**patient_info, **generate_patient_info(\"data/testing/\", patient_ids=range(101, 151))}\n",
        "\n",
        "if not os.path.exists(\"preprocessed/\"):\n",
        "    os.makedirs(\"preprocessed/\")\n",
        "np.save(os.path.join(\"preprocessed/\", \"patient_info\"), patient_info)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JpFEcRs39LCR"
      },
      "outputs": [],
      "source": [
        "#spacings = [patient_info[id][\"spacing\"] for id in range(1, 101)]\n",
        "#spacing_target = np.percentile(np.vstack(spacings), 50, 0)\n",
        "spacing_target = [10, 1.25, 1.25]\n",
        "\n",
        "if not os.path.exists(\"preprocessed/training/\"):\n",
        "    os.makedirs(\"preprocessed/training/\")\n",
        "preprocess(\n",
        "    range(1,101), patient_info, spacing_target,\n",
        "    \"data/training\", \"preprocessed/training\",\n",
        "    lambda folder, id: os.path.join(folder, 'patient{:03d}'.format(id)),\n",
        "    lambda patient_info, id, phase: \"patient{:03d}_frame{:02d}_gt.nii.gz\".format(id, patient_info[id][phase])\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0zGSKBxAHBX8"
      },
      "outputs": [],
      "source": [
        "for model in os.listdir(\"data/predictions/\"):\n",
        "    if not os.path.exists(\"preprocessed/predictions/{}\".format(model)):\n",
        "        os.makedirs(\"preprocessed/predictions/{}\".format(model))\n",
        "    preprocess(\n",
        "        range(101,151), patient_info, spacing_target,\n",
        "        \"data/predictions/{}\".format(model), \"preprocessed/predictions/{}\".format(model),\n",
        "        lambda folder, id: folder,\n",
        "        lambda patient_info, id, phase: \"patient{:03d}_{}.nii.gz\".format(id,phase)\n",
        "    )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L0X1z83HHrfU"
      },
      "source": [
        "## Dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SjOw77uj9sdd"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import random\n",
        "import torchvision\n",
        "from utils import AddPadding, CenterCrop, OneHot, ToTensor, MirrorTransform, SpatialTransform"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EY_oEIvtHyTS"
      },
      "outputs": [],
      "source": [
        "ids = random.sample(range(1, 101), 100)\n",
        "train_ids = ids[:80]\n",
        "val_ids = ids[80:]\n",
        "\n",
        "transform = torchvision.transforms.Compose([\n",
        "    AddPadding((256,256)),\n",
        "    CenterCrop((256,256)),\n",
        "    OneHot(),\n",
        "    ToTensor()\n",
        "])\n",
        "transform_augmentation = torchvision.transforms.Compose([\n",
        "    MirrorTransform(),\n",
        "    SpatialTransform(patch_size=(256,256), angle_x=(-np.pi/6,np.pi/6), scale=(0.7,1.4), random_crop=True),\n",
        "    OneHot(),\n",
        "    ToTensor()\n",
        "])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AnrDu_fF1MiV"
      },
      "source": [
        "## Training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "v0wMI70z9w7S"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "\n",
        "from CA import AE, plot_history, hyperparameter_tuning\n",
        "from utils import ACDCDataLoader\n",
        "\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_pBbyYe3Z5XG",
        "outputId": "2a704f42-ec6d-42bd-b88a-2a6ce087193c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "{'BATCH_SIZE': 8, 'DA': True, 'latent_size': 100, 'optimizer': <class 'torch.optim.adam.Adam'>, 'lr': 0.0002, 'weight_decay': 1e-05, 'functions': ['GDLoss', 'MSELoss', 'BKMSELoss'], 'settling_epochs': 2, 'tuning_epochs': 5}\n",
            "\u001b[1mEpoch [0]\u001b[0m\n",
            "GDLoss\tMSELos\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "-0.016\t0.0150\t0.0230\t0.0214\t0.9762\t14.324\t0.0000\tnan\t0.0000\tnan\t0.0000\tnan\t\n",
            "\u001b[1mEpoch [1]\u001b[0m\n",
            "GDLoss\tMSELos\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "-0.007\t0.0143\t0.0213\t0.0280\t0.9762\t14.324\t0.0000\tnan\t0.0000\tnan\t0.0005\tnan\t\n",
            "\u001b[1mEpoch [2]\u001b[0m\n",
            "GDLoss\tMSELos\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "-0.174\t0.0114\t0.0139\t-0.149\t0.9871\t12.592\t0.0068\t43.099\t0.1382\t11.928\t0.5386\t9.5335\t\n",
            "\u001b[1mEpoch [3]\u001b[0m\n",
            "GDLoss\tMSELos\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "-0.277\t0.0096\t0.0114\t-0.256\t0.9902\t11.781\t0.0282\t46.196\t0.2792\t10.627\t0.6930\t10.234\t\n",
            "\u001b[1mEpoch [4]\u001b[0m\n",
            "GDLoss\tMSELos\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "-0.355\t0.0085\t0.0102\t-0.336\t0.9910\t10.519\t0.0496\t47.790\t0.4477\t9.4468\t0.7851\t9.4937\t\n"
          ]
        }
      ],
      "source": [
        "#the following cell allows the user to tune his own hyperparameters. In case you wanna try our hyperparameters first, just skip this cell.\n",
        "\n",
        "#this is a list of possible values being tested for each hyperparameter.\n",
        "parameters = {\n",
        "    \"DA\": [True, False], #data augmentation\n",
        "    \"latent_size\": [100, 500], #size of the latent space of the autoencoder\n",
        "    \"BATCH_SIZE\": [8, 16, 4],\n",
        "    \"optimizer\": [torch.optim.Adam],\n",
        "    \"lr\": [2e-4, 1e-4, 1e-3],\n",
        "    \"weight_decay\": [1e-5],\n",
        "    \"tuning_epochs\": [5, 10], #number of epochs each configuration is run for\n",
        "    \"functions\": [[\"GDLoss\", \"MSELoss\"], [\"GDLoss\"], [\"BKGDLoss\", \"BKMSELoss\"]], #list of loss functions to be evaluated. BK stands for \"background\", which is a predominant and not compulsory class (it can lead to a dumb local minimum retrieving totally black images).\n",
        "    \"settling_epochs_BKGDLoss\": [10, 0], #during these epochs BK has half the weight of LV, RV and MYO in the evaluation of BKGDLoss\n",
        "    \"settling_epochs_BKMSELoss\": [10, 0], #during these epochs BK has half the weight of LV, RV and MYO in the evaluation of BKMSELoss\n",
        "}\n",
        "\n",
        "#this is a list of rules cutting out some useless combinations of hyperparameters from the tuning process.\n",
        "rules = [\n",
        "    '\"settling_epochs_BKGDLoss\" == 0 or \"BKGDLoss\" in \"functions\"',\n",
        "    '\"settling_epochs_BKMSELoss\" == 0 or \"BKMSELoss\" in \"functions\"',\n",
        "    '\"BKGDLoss\" not in \"functions\" or \"settling_epochs_BKGDLoss\" <= \"tuning_epochs\"',\n",
        "    '\"BKMSELoss\" not in \"functions\" or \"settling_epochs_BKMSELoss\" <= \"tuning_epochs\"',\n",
        "    #'\"BKGDLoss\" not in \"functions\" or \"settling_epochs_BKGDLoss\" >= \"settling_epochs_BKMSELoss\"'\n",
        "]\n",
        "\n",
        "optimal_parameters = hyperparameter_tuning(\n",
        "    parameters,\n",
        "    ACDCDataLoader(\"preprocessed/training\", patient_ids=train_ids, batch_size=None, transform=None),\n",
        "    ACDCDataLoader(\"preprocessed/training\", patient_ids=val_ids, batch_size=None, transform=None),\n",
        "    transform, transform_augmentation,\n",
        "    rules,\n",
        "    fast=True) #very important parameter. When False, all combinations are tested to return the one retrieving the maximum DSC. When True, the first combination avoiding dumb local minima is returned.\n",
        "\n",
        "np.save(os.path.join(\"preprocessed/\", \"optimal_parameters\"), optimal_parameters)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "m8gpOEE5Z0sP",
        "outputId": "5eed6494-abf2-4f3c-cd28-0840b909cd02"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "AE(\n",
            "  (encoder): Sequential(\n",
            "    (0): Conv2d(4, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (2): LeakyReLU(negative_slope=0.2)\n",
            "    (3): Dropout(p=0.5, inplace=False)\n",
            "    (4): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (5): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (6): LeakyReLU(negative_slope=0.2)\n",
            "    (7): Dropout(p=0.5, inplace=False)\n",
            "    (8): Conv2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (9): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (10): LeakyReLU(negative_slope=0.2)\n",
            "    (11): Dropout(p=0.5, inplace=False)\n",
            "    (12): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (13): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (14): LeakyReLU(negative_slope=0.2)\n",
            "    (15): Dropout(p=0.5, inplace=False)\n",
            "    (16): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (17): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (18): LeakyReLU(negative_slope=0.2)\n",
            "    (19): Dropout(p=0.5, inplace=False)\n",
            "    (20): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (21): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (22): LeakyReLU(negative_slope=0.2)\n",
            "    (23): Dropout(p=0.5, inplace=False)\n",
            "    (24): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (25): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (26): LeakyReLU(negative_slope=0.2)\n",
            "    (27): Dropout(p=0.5, inplace=False)\n",
            "    (28): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (29): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (30): LeakyReLU(negative_slope=0.2)\n",
            "    (31): Dropout(p=0.5, inplace=False)\n",
            "    (32): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (33): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (34): LeakyReLU(negative_slope=0.2)\n",
            "    (35): Dropout(p=0.5, inplace=False)\n",
            "    (36): Conv2d(32, 100, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "  )\n",
            "  (decoder): Sequential(\n",
            "    (0): ConvTranspose2d(100, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (2): LeakyReLU(negative_slope=0.2)\n",
            "    (3): Dropout(p=0.5, inplace=False)\n",
            "    (4): ConvTranspose2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (5): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (6): LeakyReLU(negative_slope=0.2)\n",
            "    (7): Dropout(p=0.5, inplace=False)\n",
            "    (8): ConvTranspose2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (9): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (10): LeakyReLU(negative_slope=0.2)\n",
            "    (11): Dropout(p=0.5, inplace=False)\n",
            "    (12): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (13): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (14): LeakyReLU(negative_slope=0.2)\n",
            "    (15): Dropout(p=0.5, inplace=False)\n",
            "    (16): ConvTranspose2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (17): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (18): LeakyReLU(negative_slope=0.2)\n",
            "    (19): Dropout(p=0.5, inplace=False)\n",
            "    (20): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (21): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (22): LeakyReLU(negative_slope=0.2)\n",
            "    (23): Dropout(p=0.5, inplace=False)\n",
            "    (24): ConvTranspose2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (25): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (26): LeakyReLU(negative_slope=0.2)\n",
            "    (27): Dropout(p=0.5, inplace=False)\n",
            "    (28): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (29): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (30): LeakyReLU(negative_slope=0.2)\n",
            "    (31): Dropout(p=0.5, inplace=False)\n",
            "    (32): ConvTranspose2d(32, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (33): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
            "    (34): LeakyReLU(negative_slope=0.2)\n",
            "    (35): Dropout(p=0.5, inplace=False)\n",
            "    (36): ConvTranspose2d(32, 4, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))\n",
            "    (37): Softmax(dim=1)\n",
            "  )\n",
            ")\n",
            "\u001b[1mEpoch [0]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "1.0899\t0.0217\t1.1116\t0.9762\t14.324\t0.0000\tnan\t0.0000\tnan\t0.0000\tnan\t\n",
            "\u001b[1mEpoch [1]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "1.0552\t0.0212\t1.0765\t0.9762\t14.324\t0.0000\tnan\t0.0000\tnan\t0.0000\tnan\t\n",
            "\u001b[1mEpoch [2]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.8683\t0.0145\t0.8828\t0.9893\t11.653\t0.1102\t28.987\t0.4011\t12.648\t0.0221\t18.241\t\n",
            "\u001b[1mEpoch [3]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.8196\t0.0151\t0.8347\t0.9901\t10.666\t0.3948\t23.931\t0.3145\t13.271\t0.0718\t16.510\t\n",
            "\u001b[1mEpoch [4]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.7530\t0.0147\t0.7677\t0.9902\t11.306\t0.5381\t22.084\t0.2665\t15.934\t0.1797\t16.599\t\n",
            "\u001b[1mEpoch [5]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.7100\t0.0146\t0.7245\t0.9892\t11.830\t0.5506\t22.799\t0.2532\t17.377\t0.3476\t17.623\t\n",
            "\u001b[1mEpoch [6]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.6367\t0.0137\t0.6505\t0.9896\t11.210\t0.5683\t21.440\t0.2298\t16.933\t0.5114\t17.572\t\n",
            "\u001b[1mEpoch [7]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.5952\t0.0122\t0.6074\t0.9902\t10.937\t0.5661\t20.584\t0.1612\t14.794\t0.6579\t14.073\t\n",
            "\u001b[1mEpoch [8]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.5745\t0.0121\t0.5866\t0.9897\t11.169\t0.5836\t20.281\t0.1085\t15.542\t0.6895\t14.574\t\n",
            "\u001b[1mEpoch [9]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.5541\t0.0129\t0.5670\t0.9886\t11.450\t0.5647\t21.838\t0.0841\t15.982\t0.6893\t15.153\t\n",
            "\u001b[1mEpoch [10]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0257\t0.0116\t0.0373\t0.9902\t10.108\t0.5544\t20.798\t0.0772\t14.923\t0.7239\t13.531\t\n",
            "\u001b[1mEpoch [11]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0261\t0.0120\t0.0381\t0.9897\t10.740\t0.5413\t21.388\t0.0641\t15.709\t0.7080\t14.185\t\n",
            "\u001b[1mEpoch [12]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0266\t0.0123\t0.0388\t0.9893\t10.972\t0.5111\t22.275\t0.0576\t15.505\t0.7124\t13.542\t\n",
            "\u001b[1mEpoch [13]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0263\t0.0122\t0.0385\t0.9894\t10.964\t0.5083\t22.060\t0.0561\t15.546\t0.7178\t13.532\t\n",
            "\u001b[1mEpoch [14]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0267\t0.0125\t0.0392\t0.9891\t11.320\t0.5085\t22.158\t0.0488\t16.379\t0.7013\t14.045\t\n",
            "\u001b[1mEpoch [15]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0263\t0.0123\t0.0386\t0.9894\t11.131\t0.5157\t22.075\t0.0496\t16.418\t0.7105\t14.146\t\n",
            "\u001b[1mEpoch [16]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0262\t0.0123\t0.0385\t0.9893\t11.038\t0.4982\t22.089\t0.0464\t15.648\t0.7256\t13.154\t\n",
            "\u001b[1mEpoch [17]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0261\t0.0122\t0.0384\t0.9893\t11.225\t0.5237\t22.156\t0.0451\t16.362\t0.7183\t13.534\t\n",
            "\u001b[1mEpoch [18]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0264\t0.0124\t0.0389\t0.9891\t11.129\t0.4776\t22.297\t0.0440\t15.924\t0.7291\t12.738\t\n",
            "\u001b[1mEpoch [19]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0259\t0.0122\t0.0381\t0.9895\t10.903\t0.4809\t22.322\t0.0448\t15.138\t0.7409\t12.467\t\n",
            "\u001b[1mEpoch [20]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0261\t0.0123\t0.0384\t0.9892\t11.213\t0.5100\t22.593\t0.0435\t16.230\t0.7292\t12.845\t\n",
            "\u001b[1mEpoch [21]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0262\t0.0123\t0.0385\t0.9891\t11.028\t0.4849\t22.633\t0.0434\t15.522\t0.7463\t12.046\t\n",
            "\u001b[1mEpoch [22]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0262\t0.0124\t0.0385\t0.9891\t11.199\t0.5054\t22.466\t0.0441\t16.945\t0.7287\t12.892\t\n",
            "\u001b[1mEpoch [23]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0259\t0.0122\t0.0381\t0.9893\t11.211\t0.5286\t22.391\t0.0471\t16.994\t0.7308\t12.944\t\n",
            "\u001b[1mEpoch [24]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0262\t0.0124\t0.0386\t0.9891\t11.376\t0.5216\t22.043\t0.0459\t17.983\t0.7194\t13.153\t\n",
            "\u001b[1mEpoch [25]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0261\t0.0123\t0.0384\t0.9893\t10.990\t0.4952\t21.905\t0.0505\t17.223\t0.7353\t12.504\t\n",
            "\u001b[1mEpoch [26]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0264\t0.0125\t0.0388\t0.9889\t11.378\t0.5175\t22.140\t0.0539\t18.450\t0.7246\t12.695\t\n",
            "\u001b[1mEpoch [27]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0259\t0.0122\t0.0381\t0.9893\t11.200\t0.5271\t21.591\t0.0591\t19.451\t0.7312\t12.662\t\n",
            "\u001b[1mEpoch [28]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0255\t0.0120\t0.0376\t0.9896\t11.030\t0.5133\t21.449\t0.0666\t18.683\t0.7478\t12.073\t\n",
            "\u001b[1mEpoch [29]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0265\t0.0125\t0.0389\t0.9888\t11.492\t0.5260\t22.573\t0.0711\t20.403\t0.7166\t13.192\t\n",
            "\u001b[1mEpoch [30]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0261\t0.0123\t0.0384\t0.9894\t10.894\t0.4566\t21.729\t0.0822\t20.112\t0.7476\t11.716\t\n",
            "\u001b[1mEpoch [31]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0259\t0.0122\t0.0380\t0.9894\t11.103\t0.5200\t21.582\t0.0933\t21.329\t0.7347\t12.202\t\n",
            "\u001b[1mEpoch [32]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0258\t0.0121\t0.0379\t0.9894\t10.736\t0.4794\t21.853\t0.1122\t22.542\t0.7538\t11.231\t\n",
            "\u001b[1mEpoch [33]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0261\t0.0122\t0.0383\t0.9892\t11.098\t0.4967\t22.101\t0.1169\t21.941\t0.7374\t11.783\t\n",
            "\u001b[1mEpoch [34]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0258\t0.0121\t0.0379\t0.9893\t11.177\t0.5342\t21.660\t0.1332\t23.302\t0.7283\t12.381\t\n",
            "\u001b[1mEpoch [35]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0264\t0.0123\t0.0388\t0.9890\t11.634\t0.5639\t22.018\t0.1373\t23.291\t0.7087\t12.944\t\n",
            "\u001b[1mEpoch [36]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0249\t0.0115\t0.0365\t0.9903\t10.617\t0.5364\t21.061\t0.1711\t18.621\t0.7470\t11.380\t\n",
            "\u001b[1mEpoch [37]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0254\t0.0118\t0.0371\t0.9898\t11.090\t0.5433\t21.220\t0.1579\t18.521\t0.7371\t11.871\t\n",
            "\u001b[1mEpoch [38]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0255\t0.0118\t0.0374\t0.9903\t10.702\t0.4783\t21.175\t0.1733\t15.291\t0.7398\t11.447\t\n",
            "\u001b[1mEpoch [39]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0254\t0.0117\t0.0371\t0.9898\t10.847\t0.5314\t21.321\t0.1829\t16.197\t0.7382\t11.167\t\n",
            "\u001b[1mEpoch [40]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0252\t0.0116\t0.0368\t0.9902\t10.902\t0.5375\t21.062\t0.2066\t15.673\t0.7313\t11.648\t\n",
            "\u001b[1mEpoch [41]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0251\t0.0116\t0.0367\t0.9902\t10.468\t0.5028\t21.249\t0.2182\t14.096\t0.7474\t10.752\t\n",
            "\u001b[1mEpoch [42]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0255\t0.0117\t0.0372\t0.9900\t10.703\t0.5231\t21.234\t0.2315\t14.266\t0.7313\t11.203\t\n",
            "\u001b[1mEpoch [43]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0254\t0.0116\t0.0370\t0.9899\t10.791\t0.5371\t21.273\t0.2341\t15.302\t0.7357\t10.990\t\n",
            "\u001b[1mEpoch [44]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0256\t0.0117\t0.0372\t0.9900\t10.546\t0.5280\t21.569\t0.2398\t15.098\t0.7137\t11.766\t\n",
            "\u001b[1mEpoch [45]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0260\t0.0119\t0.0379\t0.9893\t10.848\t0.5197\t22.115\t0.2451\t15.855\t0.7319\t11.504\t\n",
            "\u001b[1mEpoch [46]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0248\t0.0112\t0.0360\t0.9906\t10.365\t0.5289\t20.274\t0.2537\t13.733\t0.7434\t10.999\t\n",
            "\u001b[1mEpoch [47]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0250\t0.0113\t0.0363\t0.9904\t10.421\t0.5209\t20.982\t0.2602\t14.241\t0.7369\t11.173\t\n",
            "\u001b[1mEpoch [48]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0250\t0.0113\t0.0363\t0.9905\t10.691\t0.5586\t21.000\t0.2579\t14.626\t0.7295\t11.629\t\n",
            "\u001b[1mEpoch [49]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0248\t0.0111\t0.0359\t0.9907\t10.531\t0.5629\t20.484\t0.2745\t14.376\t0.7320\t11.345\t\n",
            "\u001b[1mEpoch [50]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0242\t0.0108\t0.0350\t0.9912\t10.188\t0.5331\t20.370\t0.2969\t13.231\t0.7476\t10.674\t\n",
            "\u001b[1mEpoch [51]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0234\t0.0103\t0.0337\t0.9922\t10.194\t0.5750\t19.512\t0.3216\t13.585\t0.7476\t10.687\t\n",
            "\u001b[1mEpoch [52]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0239\t0.0105\t0.0344\t0.9923\t9.8173\t0.5385\t19.907\t0.3201\t13.392\t0.7262\t11.054\t\n",
            "\u001b[1mEpoch [53]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0247\t0.0110\t0.0358\t0.9909\t10.352\t0.5562\t20.288\t0.2775\t14.097\t0.7231\t11.596\t\n",
            "\u001b[1mEpoch [54]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0235\t0.0103\t0.0337\t0.9922\t9.9735\t0.5827\t19.727\t0.3196\t13.799\t0.7431\t11.131\t\n",
            "\u001b[1mEpoch [55]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0232\t0.0100\t0.0331\t0.9929\t10.182\t0.6000\t19.348\t0.3338\t14.130\t0.7458\t11.248\t\n",
            "\u001b[1mEpoch [56]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0225\t0.0096\t0.0322\t0.9933\t9.2247\t0.5790\t19.378\t0.3543\t13.063\t0.7423\t10.782\t\n",
            "\u001b[1mEpoch [57]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0222\t0.0094\t0.0317\t0.9938\t9.6009\t0.6210\t19.428\t0.3490\t14.117\t0.7415\t11.505\t\n",
            "\u001b[1mEpoch [58]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0215\t0.0089\t0.0304\t0.9946\t9.0044\t0.6323\t18.948\t0.3772\t13.420\t0.7474\t11.067\t\n",
            "\u001b[1mEpoch [59]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0206\t0.0085\t0.0291\t0.9948\t8.2094\t0.6389\t19.049\t0.4043\t13.128\t0.7571\t11.096\t\n",
            "\u001b[1mEpoch [60]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0204\t0.0084\t0.0288\t0.9950\t8.4241\t0.6440\t19.294\t0.4238\t13.118\t0.7579\t11.057\t\n",
            "\u001b[1mEpoch [61]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0215\t0.0089\t0.0304\t0.9949\t8.9636\t0.6516\t19.925\t0.4028\t13.283\t0.7389\t11.411\t\n",
            "\u001b[1mEpoch [62]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0199\t0.0082\t0.0282\t0.9951\t8.5055\t0.6574\t18.802\t0.4342\t14.080\t0.7638\t11.205\t\n",
            "\u001b[1mEpoch [63]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0204\t0.0084\t0.0288\t0.9950\t8.2348\t0.6833\t17.627\t0.4237\t12.499\t0.7597\t10.719\t\n",
            "\u001b[1mEpoch [64]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0192\t0.0078\t0.0270\t0.9953\t8.1518\t0.6960\t17.110\t0.4595\t12.351\t0.7794\t10.179\t\n",
            "\u001b[1mEpoch [65]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0174\t0.0070\t0.0243\t0.9956\t7.5225\t0.7003\t16.657\t0.5237\t10.832\t0.7983\t9.5925\t\n",
            "\u001b[1mEpoch [66]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0163\t0.0065\t0.0229\t0.9957\t7.4305\t0.7076\t15.764\t0.5554\t10.509\t0.8147\t8.8498\t\n",
            "\u001b[1mEpoch [67]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0163\t0.0064\t0.0228\t0.9957\t8.1458\t0.7285\t15.305\t0.5473\t11.277\t0.8201\t8.7257\t\n",
            "\u001b[1mEpoch [68]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0172\t0.0069\t0.0241\t0.9955\t7.7521\t0.7162\t15.598\t0.5370\t11.254\t0.8030\t8.8144\t\n",
            "\u001b[1mEpoch [69]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0156\t0.0061\t0.0218\t0.9958\t7.9476\t0.7198\t15.339\t0.5692\t9.7216\t0.8246\t7.9483\t\n",
            "\u001b[1mEpoch [70]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0153\t0.0060\t0.0214\t0.9959\t7.5794\t0.7402\t14.993\t0.5747\t10.470\t0.8281\t7.8816\t\n",
            "\u001b[1mEpoch [71]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0145\t0.0057\t0.0202\t0.9963\t7.5027\t0.7568\t13.877\t0.5982\t9.6304\t0.8312\t8.0416\t\n",
            "\u001b[1mEpoch [72]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0151\t0.0059\t0.0210\t0.9961\t7.3062\t0.7413\t14.694\t0.6003\t9.4570\t0.8238\t8.1751\t\n",
            "\u001b[1mEpoch [73]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0155\t0.0061\t0.0216\t0.9961\t7.0622\t0.7574\t13.261\t0.5528\t9.9806\t0.8180\t8.0997\t\n",
            "\u001b[1mEpoch [74]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0143\t0.0055\t0.0197\t0.9964\t7.0809\t0.7486\t13.790\t0.6165\t9.0060\t0.8370\t7.4762\t\n",
            "\u001b[1mEpoch [75]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0135\t0.0052\t0.0187\t0.9965\t7.3346\t0.7690\t13.064\t0.6369\t9.0619\t0.8448\t7.5128\t\n",
            "\u001b[1mEpoch [76]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0144\t0.0055\t0.0199\t0.9963\t7.0229\t0.7749\t12.944\t0.6057\t8.6288\t0.8304\t7.3858\t\n",
            "\u001b[1mEpoch [77]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0137\t0.0052\t0.0190\t0.9966\t6.9105\t0.7798\t12.754\t0.6234\t8.8379\t0.8390\t7.6070\t\n",
            "\u001b[1mEpoch [78]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0137\t0.0052\t0.0188\t0.9965\t7.1371\t0.7667\t12.337\t0.6305\t8.4563\t0.8425\t7.2808\t\n",
            "\u001b[1mEpoch [79]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0140\t0.0055\t0.0195\t0.9958\t7.5078\t0.7543\t13.904\t0.6198\t7.6800\t0.8443\t6.8460\t\n",
            "\u001b[1mEpoch [80]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0172\t0.0071\t0.0243\t0.9941\t9.0875\t0.6875\tnan\t0.5324\t7.7251\t0.8168\t7.6390\t\n",
            "\u001b[1mEpoch [81]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0131\t0.0049\t0.0179\t0.9966\t6.6885\t0.7793\t12.940\t0.6615\t7.7093\t0.8467\t7.0438\t\n",
            "\u001b[1mEpoch [82]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0127\t0.0048\t0.0174\t0.9967\t6.7838\t0.7769\t12.120\t0.6752\t7.6023\t0.8527\t7.5282\t\n",
            "\u001b[1mEpoch [83]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0139\t0.0054\t0.0194\t0.9960\t6.8199\t0.7705\t13.280\t0.6239\t7.5495\t0.8417\t7.0795\t\n",
            "\u001b[1mEpoch [84]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0121\t0.0044\t0.0165\t0.9968\t6.6244\t0.7926\t11.983\t0.6969\t7.1927\t0.8649\t6.4922\t\n",
            "\u001b[1mEpoch [85]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0140\t0.0055\t0.0195\t0.9959\t8.0091\t0.7555\t12.447\t0.6261\t7.6663\t0.8484\t7.3360\t\n",
            "\u001b[1mEpoch [86]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0130\t0.0049\t0.0179\t0.9966\t6.9677\t0.7706\t13.474\t0.6854\t7.2830\t0.8535\t7.3281\t\n",
            "\u001b[1mEpoch [87]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0139\t0.0055\t0.0194\t0.9963\t7.1811\t0.7574\t13.400\t0.6447\t7.7217\t0.8375\t8.2840\t\n",
            "\u001b[1mEpoch [88]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0121\t0.0045\t0.0166\t0.9968\t6.6921\t0.7862\t12.344\t0.7049\t6.8057\t0.8665\t6.6641\t\n",
            "\u001b[1mEpoch [89]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0128\t0.0049\t0.0177\t0.9967\t6.2777\t0.7740\t13.425\t0.6667\t7.3601\t0.8478\t6.8563\t\n",
            "\u001b[1mEpoch [90]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0123\t0.0046\t0.0170\t0.9968\t6.5414\t0.7855\t12.895\t0.6947\t6.6964\t0.8576\t6.7174\t\n",
            "\u001b[1mEpoch [91]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0116\t0.0043\t0.0160\t0.9969\t6.6648\t0.7904\t11.725\t0.7097\t6.6343\t0.8663\t6.6973\t\n",
            "\u001b[1mEpoch [92]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0125\t0.0048\t0.0172\t0.9966\t6.8813\t0.7749\t11.982\t0.6790\t7.0018\t0.8581\t6.7570\t\n",
            "\u001b[1mEpoch [93]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0125\t0.0047\t0.0172\t0.9968\t6.5201\t0.7823\t13.108\t0.6919\t6.8882\t0.8556\t7.1437\t\n",
            "\u001b[1mEpoch [94]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0126\t0.0048\t0.0174\t0.9967\t6.9133\t0.7814\t12.249\t0.6858\t7.0879\t0.8446\t7.9002\t\n",
            "\u001b[1mEpoch [95]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0134\t0.0053\t0.0188\t0.9962\t7.6567\t0.7586\t11.295\t0.6492\t7.3683\t0.8422\t7.7732\t\n",
            "\u001b[1mEpoch [96]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0131\t0.0051\t0.0182\t0.9961\t7.2951\t0.7743\t11.919\t0.6599\t6.8413\t0.8539\t6.5573\t\n",
            "\u001b[1mEpoch [97]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0127\t0.0048\t0.0175\t0.9963\t7.1006\t0.7830\t12.544\t0.6759\t6.6178\t0.8599\t6.7752\t\n",
            "\u001b[1mEpoch [98]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0112\t0.0041\t0.0153\t0.9970\t5.9606\t0.8105\t11.720\t0.7221\t5.7073\t0.8762\t6.0024\t\n",
            "\u001b[1mEpoch [99]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0121\t0.0045\t0.0166\t0.9969\t6.3636\t0.7904\t11.790\t0.7047\t6.6028\t0.8617\t7.3420\t\n",
            "\u001b[1mEpoch [100]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0122\t0.0047\t0.0169\t0.9967\t6.8649\t0.7860\t11.201\t0.6904\t6.7422\t0.8611\t7.0050\t\n",
            "\u001b[1mEpoch [101]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0115\t0.0043\t0.0158\t0.9971\t6.4682\t0.7999\t11.363\t0.7171\t6.7587\t0.8684\t6.8731\t\n",
            "\u001b[1mEpoch [102]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0115\t0.0043\t0.0157\t0.9969\t5.9732\t0.8008\t12.217\t0.7316\t5.7467\t0.8752\t5.9787\t\n",
            "\u001b[1mEpoch [103]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0165\t0.0070\t0.0235\t0.9946\t8.3991\t0.7351\t12.647\t0.5341\t7.3856\t0.8098\t7.7721\t\n",
            "\u001b[1mEpoch [104]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0114\t0.0043\t0.0157\t0.9970\t6.4303\t0.8135\t11.000\t0.7185\t6.0941\t0.8706\t6.4967\t\n",
            "\u001b[1mEpoch [105]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0120\t0.0046\t0.0166\t0.9965\t6.6237\t0.7915\t12.362\t0.6968\t6.2124\t0.8618\t6.5389\t\n",
            "\u001b[1mEpoch [106]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0127\t0.0050\t0.0177\t0.9963\t6.7653\t0.7438\t11.830\t0.6942\t6.3989\t0.8586\t7.0305\t\n",
            "\u001b[1mEpoch [107]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0115\t0.0043\t0.0158\t0.9969\t6.5196\t0.8103\t10.761\t0.7101\t5.9277\t0.8651\t6.3301\t\n",
            "\u001b[1mEpoch [108]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0115\t0.0043\t0.0157\t0.9971\t6.5519\t0.8090\t10.950\t0.7167\t6.3640\t0.8635\t7.3531\t\n",
            "\u001b[1mEpoch [109]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0112\t0.0041\t0.0153\t0.9971\t6.1817\t0.8203\t10.602\t0.7262\t6.0419\t0.8759\t6.0438\t\n",
            "\u001b[1mEpoch [110]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0109\t0.0040\t0.0149\t0.9972\t6.2681\t0.8208\t10.299\t0.7301\t6.0439\t0.8753\t6.1588\t\n",
            "\u001b[1mEpoch [111]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0110\t0.0041\t0.0152\t0.9972\t6.2891\t0.8092\t10.420\t0.7309\t6.1602\t0.8705\t6.6881\t\n",
            "\u001b[1mEpoch [112]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0118\t0.0045\t0.0163\t0.9967\t6.3177\t0.8083\t10.850\t0.6953\t6.1813\t0.8587\t6.6600\t\n",
            "\u001b[1mEpoch [113]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0107\t0.0040\t0.0148\t0.9974\t6.1757\t0.8192\t10.029\t0.7367\t6.2425\t0.8691\t6.7217\t\n",
            "\u001b[1mEpoch [114]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0106\t0.0039\t0.0145\t0.9973\t6.2183\t0.8150\t10.353\t0.7395\t5.9251\t0.8786\t5.8503\t\n",
            "\u001b[1mEpoch [115]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0137\t0.0056\t0.0193\t0.9959\t7.3992\t0.7772\t10.803\t0.6327\t6.9204\t0.8360\t7.5197\t\n",
            "\u001b[1mEpoch [116]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0110\t0.0041\t0.0152\t0.9971\t6.2572\t0.8233\t10.223\t0.7272\t5.6999\t0.8729\t6.4556\t\n",
            "\u001b[1mEpoch [117]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0123\t0.0049\t0.0172\t0.9966\t6.9831\t0.7905\t10.557\t0.6896\t6.8012\t0.8477\t7.5865\t\n",
            "\u001b[1mEpoch [118]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0123\t0.0048\t0.0170\t0.9966\t6.4554\t0.7961\t10.487\t0.6816\t6.4035\t0.8507\t7.1593\t\n",
            "\u001b[1mEpoch [119]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0112\t0.0043\t0.0155\t0.9969\t6.5573\t0.8114\t10.816\t0.7252\t6.0006\t0.8705\t6.3569\t\n",
            "\u001b[1mEpoch [120]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0134\t0.0054\t0.0188\t0.9959\t7.0713\t0.7815\t11.307\t0.6456\t6.7384\t0.8416\t7.1684\t\n",
            "\u001b[1mEpoch [121]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0112\t0.0043\t0.0155\t0.9969\t6.0222\t0.7967\t10.675\t0.7196\t5.8411\t0.8682\t6.0853\t\n",
            "\u001b[1mEpoch [122]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0117\t0.0046\t0.0163\t0.9968\t6.3239\t0.8086\t10.046\t0.6913\t6.3013\t0.8615\t6.4942\t\n",
            "\u001b[1mEpoch [123]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0132\t0.0054\t0.0186\t0.9962\t7.0522\t0.7988\t9.8400\t0.6435\t6.7368\t0.8317\t7.5049\t\n",
            "\u001b[1mEpoch [124]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0122\t0.0049\t0.0171\t0.9965\t6.8106\t0.7973\t10.554\t0.6816\t6.4401\t0.8572\t6.7087\t\n",
            "\u001b[1mEpoch [125]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0117\t0.0046\t0.0163\t0.9966\t6.7318\t0.8057\t9.9086\t0.6975\t6.4015\t0.8689\t6.3795\t\n",
            "\u001b[1mEpoch [126]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0111\t0.0043\t0.0154\t0.9971\t6.2937\t0.8192\t10.407\t0.7204\t6.0328\t0.8589\t6.8960\t\n",
            "\u001b[1mEpoch [127]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0103\t0.0039\t0.0142\t0.9974\t6.0052\t0.8249\t10.770\t0.7462\t5.6417\t0.8766\t6.1315\t\n",
            "\u001b[1mEpoch [128]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0103\t0.0038\t0.0141\t0.9972\t5.9990\t0.8291\t10.268\t0.7590\t5.3854\t0.8874\t5.5535\t\n",
            "\u001b[1mEpoch [129]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0103\t0.0038\t0.0141\t0.9974\t6.1211\t0.8279\t9.6452\t0.7463\t5.8422\t0.8756\t6.6526\t\n",
            "\u001b[1mEpoch [130]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0103\t0.0039\t0.0142\t0.9974\t5.9369\t0.8218\t10.510\t0.7376\t5.8646\t0.8821\t5.5648\t\n",
            "\u001b[1mEpoch [131]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0110\t0.0043\t0.0153\t0.9969\t6.4865\t0.8113\t10.326\t0.7181\t5.7617\t0.8742\t6.1488\t\n",
            "\u001b[1mEpoch [132]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0110\t0.0042\t0.0152\t0.9971\t6.1623\t0.8299\t9.3329\t0.7157\t6.0585\t0.8609\t7.2481\t\n",
            "\u001b[1mEpoch [133]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0108\t0.0041\t0.0149\t0.9972\t6.5498\t0.8217\t10.321\t0.7337\t6.0587\t0.8776\t5.9093\t\n",
            "\u001b[1mEpoch [134]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0116\t0.0045\t0.0161\t0.9966\t7.1587\t0.7983\t10.959\t0.7116\t6.2694\t0.8677\t6.3599\t\n",
            "\u001b[1mEpoch [135]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0037\t0.0137\t0.9975\t6.0594\t0.8373\t10.290\t0.7558\t5.7902\t0.8819\t6.2021\t\n",
            "\u001b[1mEpoch [136]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0109\t0.0042\t0.0151\t0.9972\t6.3684\t0.8278\t10.245\t0.7169\t5.9836\t0.8720\t5.6392\t\n",
            "\u001b[1mEpoch [137]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0118\t0.0047\t0.0165\t0.9966\t6.5252\t0.8129\t9.7455\t0.6952\t6.2326\t0.8565\t6.5201\t\n",
            "\u001b[1mEpoch [138]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0103\t0.0038\t0.0141\t0.9973\t5.9662\t0.8387\t10.274\t0.7507\t5.4006\t0.8790\t6.3071\t\n",
            "\u001b[1mEpoch [139]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0113\t0.0044\t0.0157\t0.9969\t6.9053\t0.8226\t9.3925\t0.7107\t6.4133\t0.8565\t6.8078\t\n",
            "\u001b[1mEpoch [140]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0037\t0.0137\t0.9974\t6.2539\t0.8429\t9.8361\t0.7531\t5.5457\t0.8876\t5.9110\t\n",
            "\u001b[1mEpoch [141]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0037\t0.0136\t0.9974\t6.1695\t0.8400\t9.2628\t0.7574\t5.6203\t0.8862\t5.6739\t\n",
            "\u001b[1mEpoch [142]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0104\t0.0039\t0.0142\t0.9973\t6.1581\t0.8198\t10.952\t0.7502\t5.5428\t0.8831\t5.7188\t\n",
            "\u001b[1mEpoch [143]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0115\t0.0045\t0.0160\t0.9966\t6.9889\t0.8030\t10.243\t0.7072\t6.0993\t0.8688\t6.2872\t\n",
            "\u001b[1mEpoch [144]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0102\t0.0038\t0.0141\t0.9974\t6.1090\t0.8406\t10.229\t0.7492\t5.5357\t0.8779\t6.1113\t\n",
            "\u001b[1mEpoch [145]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0107\t0.0040\t0.0148\t0.9971\t6.3483\t0.8386\t10.978\t0.7345\t5.8014\t0.8783\t5.9300\t\n",
            "\u001b[1mEpoch [146]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0101\t0.0038\t0.0139\t0.9972\t6.0730\t0.8261\t10.691\t0.7573\t5.4280\t0.8876\t5.5176\t\n",
            "\u001b[1mEpoch [147]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0038\t0.0137\t0.9974\t5.8423\t0.8278\t10.002\t0.7473\t5.3805\t0.8805\t5.7740\t\n",
            "\u001b[1mEpoch [148]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0036\t0.0133\t0.9975\t6.0060\t0.8350\t8.8982\t0.7633\t5.6132\t0.8816\t6.2434\t\n",
            "\u001b[1mEpoch [149]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0102\t0.0038\t0.0140\t0.9973\t6.2772\t0.8366\t9.6821\t0.7518\t5.4966\t0.8867\t5.2932\t\n",
            "\u001b[1mEpoch [150]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0102\t0.0039\t0.0141\t0.9973\t6.0261\t0.8311\t10.188\t0.7389\t5.6769\t0.8802\t5.5411\t\n",
            "\u001b[1mEpoch [151]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0104\t0.0039\t0.0143\t0.9973\t6.2800\t0.8401\t9.7501\t0.7360\t5.7173\t0.8752\t5.8489\t\n",
            "\u001b[1mEpoch [152]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0038\t0.0138\t0.9972\t5.8990\t0.8276\t10.251\t0.7580\t5.6323\t0.8846\t5.7747\t\n",
            "\u001b[1mEpoch [153]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0105\t0.0041\t0.0146\t0.9972\t6.2508\t0.8290\t8.9362\t0.7351\t5.8020\t0.8671\t6.4676\t\n",
            "\u001b[1mEpoch [154]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0102\t0.0039\t0.0142\t0.9973\t6.0197\t0.8221\t10.537\t0.7391\t5.6243\t0.8793\t5.7854\t\n",
            "\u001b[1mEpoch [155]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0037\t0.0135\t0.9974\t5.8796\t0.8358\t9.8057\t0.7631\t5.3051\t0.8873\t5.4541\t\n",
            "\u001b[1mEpoch [156]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0101\t0.0038\t0.0139\t0.9973\t6.1626\t0.8217\t9.2212\t0.7575\t5.6899\t0.8802\t6.2410\t\n",
            "\u001b[1mEpoch [157]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0110\t0.0043\t0.0153\t0.9971\t6.3283\t0.8267\t9.6057\t0.7190\t5.8770\t0.8649\t6.6274\t\n",
            "\u001b[1mEpoch [158]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0116\t0.0047\t0.0163\t0.9968\t7.4565\t0.8091\t9.0647\t0.6982\t6.5243\t0.8562\t7.0543\t\n",
            "\u001b[1mEpoch [159]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0037\t0.0137\t0.9975\t6.2095\t0.8413\t9.4264\t0.7554\t5.9781\t0.8864\t5.6371\t\n",
            "\u001b[1mEpoch [160]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0035\t0.0130\t0.9976\t5.7587\t0.8432\t9.6995\t0.7677\t5.3188\t0.8865\t5.6668\t\n",
            "\u001b[1mEpoch [161]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0103\t0.0039\t0.0142\t0.9974\t6.1640\t0.8332\t10.157\t0.7436\t5.5515\t0.8842\t5.3974\t\n",
            "\u001b[1mEpoch [162]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0034\t0.0127\t0.9975\t5.7499\t0.8520\t8.7782\t0.7684\t5.2527\t0.8921\t5.5412\t\n",
            "\u001b[1mEpoch [163]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0101\t0.0039\t0.0140\t0.9974\t5.9682\t0.8278\t10.462\t0.7416\t5.3884\t0.8803\t5.7440\t\n",
            "\u001b[1mEpoch [164]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0096\t0.0036\t0.0132\t0.9976\t5.8155\t0.8461\t9.1331\t0.7620\t5.3833\t0.8834\t5.7436\t\n",
            "\u001b[1mEpoch [165]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0038\t0.0136\t0.9975\t5.7777\t0.8495\t9.1921\t0.7471\t5.5780\t0.8760\t6.1060\t\n",
            "\u001b[1mEpoch [166]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0096\t0.0037\t0.0133\t0.9975\t5.5631\t0.8287\t9.8960\t0.7647\t5.2171\t0.8855\t5.7847\t\n",
            "\u001b[1mEpoch [167]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0036\t0.0134\t0.9974\t6.0126\t0.8350\t9.0680\t0.7666\t5.3702\t0.8863\t5.8718\t\n",
            "\u001b[1mEpoch [168]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0098\t0.0037\t0.0136\t0.9974\t6.0253\t0.8263\t9.6015\t0.7626\t5.5010\t0.8794\t6.1220\t\n",
            "\u001b[1mEpoch [169]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0104\t0.0041\t0.0145\t0.9972\t6.1145\t0.8097\t9.4218\t0.7515\t5.6223\t0.8731\t6.8442\t\n",
            "\u001b[1mEpoch [170]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9976\t5.5877\t0.8435\t9.1457\t0.7827\t5.0706\t0.8920\t5.6007\t\n",
            "\u001b[1mEpoch [171]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0034\t0.0126\t0.9976\t6.0099\t0.8573\t9.5070\t0.7731\t5.1593\t0.8907\t5.6431\t\n",
            "\u001b[1mEpoch [172]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0038\t0.0137\t0.9974\t6.1257\t0.8237\t9.1235\t0.7560\t5.7148\t0.8749\t6.4717\t\n",
            "\u001b[1mEpoch [173]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0096\t0.0036\t0.0132\t0.9975\t6.2172\t0.8459\t8.7526\t0.7645\t5.1232\t0.8871\t5.6437\t\n",
            "\u001b[1mEpoch [174]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0104\t0.0041\t0.0144\t0.9971\t5.8402\t0.8362\t9.5415\t0.7253\t5.6282\t0.8741\t5.8609\t\n",
            "\u001b[1mEpoch [175]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0094\t0.0035\t0.0129\t0.9975\t6.0417\t0.8499\t9.1583\t0.7688\t5.0507\t0.8942\t5.2215\t\n",
            "\u001b[1mEpoch [176]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0035\t0.0128\t0.9976\t5.8677\t0.8497\t8.7306\t0.7653\t5.3792\t0.8861\t5.6924\t\n",
            "\u001b[1mEpoch [177]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0094\t0.0035\t0.0129\t0.9976\t5.6962\t0.8348\t9.6461\t0.7736\t5.2424\t0.8889\t5.7398\t\n",
            "\u001b[1mEpoch [178]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0036\t0.0131\t0.9975\t5.7448\t0.8391\t8.9134\t0.7656\t5.5239\t0.8851\t5.8249\t\n",
            "\u001b[1mEpoch [179]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0038\t0.0135\t0.9974\t5.7730\t0.8309\t9.3092\t0.7669\t5.4197\t0.8747\t6.1601\t\n",
            "\u001b[1mEpoch [180]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9975\t5.6632\t0.8353\t9.5192\t0.7852\t4.8195\t0.8950\t5.1292\t\n",
            "\u001b[1mEpoch [181]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9978\t5.6342\t0.8559\t8.3195\t0.7711\t5.3028\t0.8867\t5.9059\t\n",
            "\u001b[1mEpoch [182]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9977\t5.6140\t0.8516\t9.0397\t0.7716\t5.1790\t0.8860\t5.6321\t\n",
            "\u001b[1mEpoch [183]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9978\t5.7711\t0.8528\t8.7087\t0.7707\t5.1870\t0.8878\t5.7197\t\n",
            "\u001b[1mEpoch [184]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0123\t0.9977\t5.5362\t0.8474\t8.9796\t0.7782\t5.1656\t0.8914\t5.5733\t\n",
            "\u001b[1mEpoch [185]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0037\t0.0134\t0.9975\t5.7234\t0.8377\t9.1009\t0.7611\t5.3270\t0.8815\t6.1272\t\n",
            "\u001b[1mEpoch [186]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0096\t0.0037\t0.0133\t0.9973\t5.5834\t0.8252\t9.4710\t0.7749\t5.2285\t0.8869\t5.8936\t\n",
            "\u001b[1mEpoch [187]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0037\t0.0134\t0.9975\t5.9006\t0.8414\t9.2027\t0.7647\t5.0964\t0.8854\t5.4952\t\n",
            "\u001b[1mEpoch [188]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0098\t0.0038\t0.0136\t0.9975\t5.4885\t0.8247\t10.059\t0.7609\t5.0657\t0.8810\t5.7572\t\n",
            "\u001b[1mEpoch [189]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9977\t5.6164\t0.8498\t8.4107\t0.7717\t5.2411\t0.8859\t5.7500\t\n",
            "\u001b[1mEpoch [190]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0034\t0.0126\t0.9977\t5.7042\t0.8457\t9.6148\t0.7762\t5.3194\t0.8916\t5.3581\t\n",
            "\u001b[1mEpoch [191]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0035\t0.0128\t0.9976\t5.5445\t0.8488\t9.3387\t0.7687\t5.2674\t0.8869\t5.5557\t\n",
            "\u001b[1mEpoch [192]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0034\t0.0127\t0.9976\t5.6134\t0.8464\t8.8418\t0.7755\t5.1393\t0.8891\t5.7003\t\n",
            "\u001b[1mEpoch [193]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0034\t0.0126\t0.9976\t5.5915\t0.8470\t8.4443\t0.7802\t5.0348\t0.8881\t5.8973\t\n",
            "\u001b[1mEpoch [194]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9976\t5.7712\t0.8495\t8.7332\t0.7774\t5.0176\t0.8890\t5.6679\t\n",
            "\u001b[1mEpoch [195]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0033\t0.0123\t0.9976\t5.7035\t0.8523\t8.8915\t0.7847\t5.2532\t0.8946\t5.2339\t\n",
            "\u001b[1mEpoch [196]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0122\t0.9977\t5.7014\t0.8559\t8.4283\t0.7809\t4.9921\t0.8980\t5.2395\t\n",
            "\u001b[1mEpoch [197]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0035\t0.0131\t0.9974\t5.8579\t0.8504\t8.8859\t0.7703\t5.1014\t0.8940\t5.2890\t\n",
            "\u001b[1mEpoch [198]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0034\t0.0126\t0.9977\t5.5410\t0.8499\t8.9528\t0.7715\t5.2703\t0.8910\t5.4934\t\n",
            "\u001b[1mEpoch [199]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9978\t5.7171\t0.8539\t8.9812\t0.7794\t5.2687\t0.8881\t5.7453\t\n",
            "\u001b[1mEpoch [200]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0037\t0.0134\t0.9975\t5.9030\t0.8397\t9.2503\t0.7585\t5.2951\t0.8865\t5.3397\t\n",
            "\u001b[1mEpoch [201]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0094\t0.0035\t0.0129\t0.9975\t6.0052\t0.8523\t8.4841\t0.7689\t5.1726\t0.8923\t5.1578\t\n",
            "\u001b[1mEpoch [202]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0035\t0.0128\t0.9977\t5.8314\t0.8406\t9.5555\t0.7681\t5.2492\t0.8893\t5.3304\t\n",
            "\u001b[1mEpoch [203]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0038\t0.0138\t0.9974\t6.1651\t0.8368\t9.8112\t0.7538\t5.5062\t0.8870\t5.3563\t\n",
            "\u001b[1mEpoch [204]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0034\t0.0125\t0.9976\t5.7522\t0.8607\t9.0438\t0.7735\t5.1617\t0.8968\t5.2404\t\n",
            "\u001b[1mEpoch [205]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0098\t0.0038\t0.0136\t0.9974\t5.9322\t0.8353\t9.2434\t0.7503\t5.5466\t0.8782\t6.0596\t\n",
            "\u001b[1mEpoch [206]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0035\t0.0126\t0.9977\t5.6525\t0.8475\t9.1067\t0.7752\t5.0448\t0.8863\t5.5879\t\n",
            "\u001b[1mEpoch [207]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0039\t0.0140\t0.9973\t5.7571\t0.8544\t8.7050\t0.7394\t5.6915\t0.8732\t5.8726\t\n",
            "\u001b[1mEpoch [208]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0032\t0.0121\t0.9977\t5.7638\t0.8533\t8.6514\t0.7859\t5.0072\t0.8984\t5.2075\t\n",
            "\u001b[1mEpoch [209]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9976\t5.9922\t0.8538\t8.7271\t0.7786\t5.0622\t0.8944\t5.2355\t\n",
            "\u001b[1mEpoch [210]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9976\t5.6024\t0.8523\t9.0143\t0.7746\t4.9760\t0.8944\t5.2591\t\n",
            "\u001b[1mEpoch [211]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0036\t0.0132\t0.9975\t5.8953\t0.8470\t9.0882\t0.7553\t5.2366\t0.8892\t5.2544\t\n",
            "\u001b[1mEpoch [212]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0034\t0.0125\t0.9978\t5.6979\t0.8603\t8.8991\t0.7753\t5.3811\t0.8812\t6.5267\t\n",
            "\u001b[1mEpoch [213]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0035\t0.0128\t0.9975\t5.4847\t0.8426\t9.3390\t0.7773\t5.2354\t0.8905\t5.7362\t\n",
            "\u001b[1mEpoch [214]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0094\t0.0036\t0.0130\t0.9973\t6.4381\t0.8373\t8.9899\t0.7666\t5.6624\t0.8898\t5.1629\t\n",
            "\u001b[1mEpoch [215]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9977\t5.8259\t0.8570\t8.4791\t0.7731\t5.1067\t0.8900\t5.4708\t\n",
            "\u001b[1mEpoch [216]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0122\t0.9977\t5.8295\t0.8551\t9.0759\t0.7754\t4.9893\t0.8958\t5.1302\t\n",
            "\u001b[1mEpoch [217]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0035\t0.0128\t0.9977\t5.6890\t0.8359\t9.8746\t0.7784\t5.2179\t0.8872\t5.8774\t\n",
            "\u001b[1mEpoch [218]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0035\t0.0127\t0.9977\t5.5282\t0.8385\t9.4788\t0.7750\t5.1900\t0.8880\t5.6265\t\n",
            "\u001b[1mEpoch [219]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0036\t0.0129\t0.9975\t5.5101\t0.8437\t9.3184\t0.7612\t5.3823\t0.8878\t5.5307\t\n",
            "\u001b[1mEpoch [220]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0123\t0.9978\t5.6614\t0.8504\t8.9766\t0.7780\t5.2195\t0.8872\t5.6654\t\n",
            "\u001b[1mEpoch [221]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0035\t0.0126\t0.9976\t5.6655\t0.8487\t9.3552\t0.7624\t5.3446\t0.8931\t5.0700\t\n",
            "\u001b[1mEpoch [222]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0031\t0.0116\t0.9977\t5.6626\t0.8585\t8.4292\t0.7925\t4.9638\t0.9055\t4.7223\t\n",
            "\u001b[1mEpoch [223]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9977\t5.4258\t0.8540\t8.5314\t0.7909\t4.9101\t0.8995\t5.2274\t\n",
            "\u001b[1mEpoch [224]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9978\t5.5132\t0.8557\t8.6800\t0.7751\t5.1045\t0.8887\t5.6587\t\n",
            "\u001b[1mEpoch [225]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0037\t0.0134\t0.9972\t5.6202\t0.8495\t9.3353\t0.7457\t5.3427\t0.8908\t5.3948\t\n",
            "\u001b[1mEpoch [226]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0037\t0.0131\t0.9976\t5.7006\t0.8470\t9.2036\t0.7620\t5.1988\t0.8820\t5.8877\t\n",
            "\u001b[1mEpoch [227]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0035\t0.0130\t0.9973\t6.1609\t0.8586\t8.7074\t0.7650\t5.2723\t0.8962\t5.1188\t\n",
            "\u001b[1mEpoch [228]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9977\t5.6523\t0.8530\t8.8620\t0.7784\t5.3869\t0.8903\t5.3847\t\n",
            "\u001b[1mEpoch [229]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0032\t0.0118\t0.9977\t5.9175\t0.8583\t8.5813\t0.7910\t4.7669\t0.9076\t4.9011\t\n",
            "\u001b[1mEpoch [230]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0100\t0.0038\t0.0138\t0.9973\t5.9412\t0.8554\t8.9041\t0.7518\t5.3671\t0.8872\t5.7118\t\n",
            "\u001b[1mEpoch [231]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0123\t0.9978\t5.6678\t0.8589\t9.1071\t0.7797\t4.9917\t0.8888\t5.6534\t\n",
            "\u001b[1mEpoch [232]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0122\t0.9976\t5.5821\t0.8450\t8.7046\t0.7853\t4.8625\t0.8977\t5.3435\t\n",
            "\u001b[1mEpoch [233]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0038\t0.0137\t0.9973\t5.9106\t0.8534\t8.9781\t0.7483\t5.4665\t0.8873\t4.9727\t\n",
            "\u001b[1mEpoch [234]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0035\t0.0126\t0.9976\t5.6394\t0.8383\t9.8241\t0.7781\t4.9701\t0.8967\t5.3612\t\n",
            "\u001b[1mEpoch [235]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0099\t0.0039\t0.0138\t0.9974\t5.8791\t0.8287\t8.2179\t0.7629\t5.3566\t0.8744\t6.8043\t\n",
            "\u001b[1mEpoch [236]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0033\t0.0121\t0.9978\t5.5932\t0.8525\t8.7425\t0.7849\t5.0372\t0.8962\t5.5787\t\n",
            "\u001b[1mEpoch [237]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0093\t0.0036\t0.0128\t0.9976\t5.5698\t0.8413\t8.9599\t0.7713\t5.3081\t0.8859\t5.8123\t\n",
            "\u001b[1mEpoch [238]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0031\t0.0116\t0.9977\t5.7529\t0.8626\t8.4428\t0.7910\t4.8382\t0.9089\t4.7415\t\n",
            "\u001b[1mEpoch [239]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0032\t0.0119\t0.9978\t5.6209\t0.8578\t9.0615\t0.7875\t5.2157\t0.9022\t4.8637\t\n",
            "\u001b[1mEpoch [240]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0032\t0.0120\t0.9975\t5.7394\t0.8584\t8.8825\t0.7933\t5.0097\t0.9079\t4.8753\t\n",
            "\u001b[1mEpoch [241]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0035\t0.0127\t0.9976\t5.4159\t0.8438\t9.6288\t0.7673\t5.2303\t0.8953\t5.3693\t\n",
            "\u001b[1mEpoch [242]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0032\t0.0119\t0.9978\t5.7411\t0.8617\t8.7884\t0.7807\t4.9503\t0.8950\t5.4248\t\n",
            "\u001b[1mEpoch [243]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0031\t0.0116\t0.9978\t5.3890\t0.8581\t8.8212\t0.7991\t4.7827\t0.9059\t5.3672\t\n",
            "\u001b[1mEpoch [244]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0035\t0.0125\t0.9977\t5.5147\t0.8404\t9.1260\t0.7774\t5.0106\t0.8926\t5.4062\t\n",
            "\u001b[1mEpoch [245]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0095\t0.0037\t0.0131\t0.9974\t5.6096\t0.8376\t9.5128\t0.7575\t5.2353\t0.8918\t5.4780\t\n",
            "\u001b[1mEpoch [246]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0122\t0.9977\t5.6084\t0.8541\t8.6655\t0.7790\t5.1992\t0.8992\t5.3621\t\n",
            "\u001b[1mEpoch [247]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0035\t0.0127\t0.9976\t5.6435\t0.8343\t9.4027\t0.7842\t5.2518\t0.8929\t6.0106\t\n",
            "\u001b[1mEpoch [248]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0122\t0.9976\t5.4207\t0.8522\t8.5710\t0.7869\t4.9256\t0.9026\t5.3187\t\n",
            "\u001b[1mEpoch [249]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9977\t5.4763\t0.8600\t8.2596\t0.7865\t4.9429\t0.9008\t5.1743\t\n",
            "\u001b[1mEpoch [250]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.4514\t0.8598\t8.2553\t0.8016\t4.6773\t0.9027\t5.1509\t\n",
            "\u001b[1mEpoch [251]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0033\t0.0122\t0.9978\t5.3057\t0.8379\t9.5686\t0.7817\t5.1865\t0.8957\t5.3580\t\n",
            "\u001b[1mEpoch [252]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0032\t0.0118\t0.9978\t5.5934\t0.8544\t9.1153\t0.7876\t4.9921\t0.9042\t5.0324\t\n",
            "\u001b[1mEpoch [253]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0097\t0.0038\t0.0135\t0.9974\t5.5478\t0.8381\t9.5234\t0.7501\t5.6834\t0.8869\t5.5181\t\n",
            "\u001b[1mEpoch [254]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9978\t5.6247\t0.8551\t8.3621\t0.7922\t4.9417\t0.9001\t5.1501\t\n",
            "\u001b[1mEpoch [255]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0031\t0.0116\t0.9978\t5.3947\t0.8497\t9.1364\t0.7933\t4.9479\t0.9087\t5.0708\t\n",
            "\u001b[1mEpoch [256]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.5152\t0.8645\t8.6608\t0.7897\t5.0621\t0.8981\t5.4815\t\n",
            "\u001b[1mEpoch [257]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0031\t0.0116\t0.9978\t5.7255\t0.8611\t8.6855\t0.7917\t4.7633\t0.9008\t5.2332\t\n",
            "\u001b[1mEpoch [258]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0033\t0.0119\t0.9977\t5.5268\t0.8417\t8.6551\t0.7922\t4.8269\t0.8980\t5.7025\t\n",
            "\u001b[1mEpoch [259]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0030\t0.0114\t0.9977\t5.5802\t0.8712\t7.7301\t0.7937\t4.7439\t0.9097\t5.1795\t\n",
            "\u001b[1mEpoch [260]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0089\t0.0034\t0.0122\t0.9977\t5.4668\t0.8508\t8.8591\t0.7720\t5.3052\t0.8914\t5.3347\t\n",
            "\u001b[1mEpoch [261]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0091\t0.0035\t0.0126\t0.9975\t5.2584\t0.8407\t9.1703\t0.7716\t5.0743\t0.8908\t5.8022\t\n",
            "\u001b[1mEpoch [262]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9978\t5.4320\t0.8472\t9.2925\t0.7933\t4.8214\t0.9021\t5.1182\t\n",
            "\u001b[1mEpoch [263]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9977\t5.5897\t0.8520\t8.5036\t0.7875\t5.0218\t0.8987\t5.0930\t\n",
            "\u001b[1mEpoch [264]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.3797\t0.8723\t8.1089\t0.7962\t4.8838\t0.8963\t5.5087\t\n",
            "\u001b[1mEpoch [265]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0036\t0.0128\t0.9976\t5.4616\t0.8445\t8.8186\t0.7762\t5.2397\t0.8866\t5.9473\t\n",
            "\u001b[1mEpoch [266]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.4879\t0.8563\t8.4171\t0.7954\t4.7910\t0.9026\t4.8805\t\n",
            "\u001b[1mEpoch [267]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0030\t0.0113\t0.9979\t5.5104\t0.8604\t8.5881\t0.7929\t4.9520\t0.9012\t4.9105\t\n",
            "\u001b[1mEpoch [268]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0033\t0.0122\t0.9977\t5.2326\t0.8489\t9.3909\t0.7914\t4.8942\t0.8990\t5.5582\t\n",
            "\u001b[1mEpoch [269]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9975\t5.7769\t0.8447\t9.0739\t0.7773\t5.2941\t0.9103\t4.8945\t\n",
            "\u001b[1mEpoch [270]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0032\t0.0119\t0.9978\t5.5578\t0.8455\t8.7629\t0.7844\t4.9298\t0.8982\t5.0630\t\n",
            "\u001b[1mEpoch [271]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.3914\t0.8615\t8.1793\t0.7930\t4.8325\t0.8983\t5.5365\t\n",
            "\u001b[1mEpoch [272]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9978\t5.4486\t0.8501\t8.8084\t0.7951\t4.9768\t0.9028\t5.5074\t\n",
            "\u001b[1mEpoch [273]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0118\t0.9977\t5.4041\t0.8558\t8.5287\t0.7851\t4.7458\t0.9000\t5.4483\t\n",
            "\u001b[1mEpoch [274]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.3270\t0.8627\t8.1724\t0.8088\t4.6168\t0.9046\t5.4935\t\n",
            "\u001b[1mEpoch [275]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0031\t0.0115\t0.9978\t5.4208\t0.8464\t8.9992\t0.7950\t4.9538\t0.9055\t5.1490\t\n",
            "\u001b[1mEpoch [276]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0092\t0.0035\t0.0127\t0.9974\t5.4236\t0.8156\t9.5550\t0.7771\t5.0761\t0.9013\t5.1652\t\n",
            "\u001b[1mEpoch [277]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0096\t0.0036\t0.0132\t0.9974\t6.1782\t0.8484\t8.9800\t0.7688\t5.1599\t0.8986\t5.3536\t\n",
            "\u001b[1mEpoch [278]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0118\t0.9978\t5.5002\t0.8522\t9.1371\t0.7826\t4.9922\t0.8982\t5.4772\t\n",
            "\u001b[1mEpoch [279]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9978\t5.5077\t0.8499\t8.5737\t0.7975\t4.9672\t0.8997\t5.4466\t\n",
            "\u001b[1mEpoch [280]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0032\t0.0118\t0.9977\t5.4568\t0.8502\t8.5121\t0.7864\t4.8783\t0.9015\t5.1574\t\n",
            "\u001b[1mEpoch [281]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0032\t0.0120\t0.9976\t5.8845\t0.8605\t8.8563\t0.7872\t5.0379\t0.9066\t5.0387\t\n",
            "\u001b[1mEpoch [282]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.5443\t0.8602\t8.4511\t0.8041\t4.7462\t0.9094\t5.3009\t\n",
            "\u001b[1mEpoch [283]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0031\t0.0115\t0.9979\t5.4720\t0.8552\t8.7841\t0.7907\t4.9882\t0.9015\t4.7450\t\n",
            "\u001b[1mEpoch [284]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0118\t0.9977\t5.4443\t0.8406\t8.7278\t0.8001\t4.9116\t0.9022\t5.4291\t\n",
            "\u001b[1mEpoch [285]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.3812\t0.8559\t8.8340\t0.8002\t4.8568\t0.9003\t5.3198\t\n",
            "\u001b[1mEpoch [286]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0033\t0.0121\t0.9976\t5.8178\t0.8633\t7.7051\t0.7818\t4.9743\t0.9026\t5.0485\t\n",
            "\u001b[1mEpoch [287]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0033\t0.0121\t0.9977\t5.3959\t0.8442\t9.4408\t0.7754\t4.8754\t0.8976\t5.2627\t\n",
            "\u001b[1mEpoch [288]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9979\t5.5800\t0.8587\t9.1495\t0.7851\t5.1505\t0.9002\t4.9304\t\n",
            "\u001b[1mEpoch [289]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9979\t5.3582\t0.8609\t8.2468\t0.7921\t4.8379\t0.8994\t5.5212\t\n",
            "\u001b[1mEpoch [290]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9979\t5.3332\t0.8652\t8.3130\t0.8033\t4.5989\t0.9091\t5.0766\t\n",
            "\u001b[1mEpoch [291]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0032\t0.0118\t0.9976\t6.0187\t0.8653\t8.9569\t0.7900\t4.9393\t0.9086\t4.8288\t\n",
            "\u001b[1mEpoch [292]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0118\t0.9977\t5.4917\t0.8464\t8.9139\t0.7938\t4.7636\t0.9060\t5.1942\t\n",
            "\u001b[1mEpoch [293]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9979\t5.4766\t0.8618\t8.4324\t0.7974\t4.8440\t0.8952\t5.8999\t\n",
            "\u001b[1mEpoch [294]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.3482\t0.8553\t8.7197\t0.7983\t4.9130\t0.9100\t5.0300\t\n",
            "\u001b[1mEpoch [295]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9978\t5.8117\t0.8623\t8.7443\t0.8080\t4.9077\t0.9118\t5.0340\t\n",
            "\u001b[1mEpoch [296]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.7906\t0.8643\t9.1444\t0.7985\t4.8258\t0.9040\t5.0868\t\n",
            "\u001b[1mEpoch [297]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0109\t0.9979\t5.3726\t0.8644\t8.0984\t0.8046\t4.7260\t0.9084\t5.1328\t\n",
            "\u001b[1mEpoch [298]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.4903\t0.8655\t8.2115\t0.7965\t4.7407\t0.8991\t5.7817\t\n",
            "\u001b[1mEpoch [299]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0030\t0.0112\t0.9979\t5.8399\t0.8618\t8.9198\t0.8047\t4.6635\t0.9071\t5.4403\t\n",
            "\u001b[1mEpoch [300]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.4776\t0.8652\t8.5329\t0.7881\t4.9247\t0.8976\t5.0408\t\n",
            "\u001b[1mEpoch [301]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9978\t5.3592\t0.8647\t8.3703\t0.8010\t4.6925\t0.9040\t5.2929\t\n",
            "\u001b[1mEpoch [302]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0030\t0.0112\t0.9979\t5.5402\t0.8572\t8.7531\t0.8055\t4.7814\t0.9063\t5.5869\t\n",
            "\u001b[1mEpoch [303]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9979\t5.2108\t0.8529\t8.8300\t0.8068\t4.8080\t0.9068\t5.2042\t\n",
            "\u001b[1mEpoch [304]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9979\t5.3422\t0.8465\t8.9225\t0.7965\t4.8922\t0.8989\t5.6991\t\n",
            "\u001b[1mEpoch [305]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.2210\t0.8595\t8.6774\t0.7949\t4.7097\t0.9022\t5.1683\t\n",
            "\u001b[1mEpoch [306]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0034\t0.0121\t0.9979\t5.5012\t0.8538\t8.7202\t0.7802\t5.2886\t0.8922\t5.9340\t\n",
            "\u001b[1mEpoch [307]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0033\t0.0119\t0.9978\t5.3873\t0.8525\t8.2065\t0.7825\t4.8473\t0.8982\t5.2809\t\n",
            "\u001b[1mEpoch [308]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0033\t0.0120\t0.9979\t5.2284\t0.8224\t10.077\t0.7819\t5.1058\t0.8999\t4.9962\t\n",
            "\u001b[1mEpoch [309]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.6249\t0.8589\t8.6434\t0.7936\t4.7717\t0.9022\t5.2171\t\n",
            "\u001b[1mEpoch [310]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9980\t5.4577\t0.8718\t8.8692\t0.7911\t4.8437\t0.8957\t5.5611\t\n",
            "\u001b[1mEpoch [311]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0124\t0.9975\t5.6714\t0.8514\t8.4556\t0.7765\t5.0602\t0.8943\t5.7197\t\n",
            "\u001b[1mEpoch [312]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0106\t0.9980\t5.6646\t0.8612\t8.6500\t0.8130\t4.7468\t0.9119\t5.0471\t\n",
            "\u001b[1mEpoch [313]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.5385\t0.8599\t8.3573\t0.7946\t4.9494\t0.9030\t5.6466\t\n",
            "\u001b[1mEpoch [314]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0118\t0.9978\t5.5626\t0.8571\t9.3795\t0.7909\t4.9834\t0.9008\t5.5623\t\n",
            "\u001b[1mEpoch [315]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9979\t5.5291\t0.8642\t8.8814\t0.7883\t5.0132\t0.8969\t5.7698\t\n",
            "\u001b[1mEpoch [316]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0113\t0.9979\t5.4123\t0.8564\t8.8001\t0.7977\t4.6885\t0.9080\t5.0126\t\n",
            "\u001b[1mEpoch [317]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9978\t5.5315\t0.8493\t8.8819\t0.7866\t5.0318\t0.9038\t5.2756\t\n",
            "\u001b[1mEpoch [318]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.3845\t0.8562\t8.5853\t0.7997\t4.5350\t0.9009\t5.4461\t\n",
            "\u001b[1mEpoch [319]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.3829\t0.8686\t8.1672\t0.7865\t4.5995\t0.8966\t5.7985\t\n",
            "\u001b[1mEpoch [320]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9980\t5.5633\t0.8710\t8.6550\t0.7910\t4.9714\t0.8931\t5.6126\t\n",
            "\u001b[1mEpoch [321]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9979\t5.4185\t0.8548\t9.2124\t0.8014\t4.8548\t0.9100\t5.1374\t\n",
            "\u001b[1mEpoch [322]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9979\t5.3480\t0.8606\t8.5573\t0.7924\t5.0064\t0.8992\t5.3515\t\n",
            "\u001b[1mEpoch [323]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0115\t0.9979\t5.3845\t0.8667\t8.0677\t0.7833\t4.9620\t0.8972\t5.8352\t\n",
            "\u001b[1mEpoch [324]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0033\t0.0120\t0.9978\t5.5143\t0.8366\t9.8952\t0.7796\t5.1448\t0.8937\t5.4064\t\n",
            "\u001b[1mEpoch [325]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0033\t0.0119\t0.9977\t5.4268\t0.8532\t8.6299\t0.7822\t5.1115\t0.9015\t5.3224\t\n",
            "\u001b[1mEpoch [326]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0090\t0.0034\t0.0123\t0.9975\t5.7818\t0.8683\t8.6328\t0.7736\t5.2472\t0.9041\t5.2445\t\n",
            "\u001b[1mEpoch [327]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0086\t0.0033\t0.0118\t0.9978\t5.6960\t0.8549\t8.3578\t0.7723\t5.0301\t0.8956\t5.1020\t\n",
            "\u001b[1mEpoch [328]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9979\t5.3614\t0.8522\t8.9080\t0.7914\t4.7934\t0.8992\t5.4883\t\n",
            "\u001b[1mEpoch [329]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9978\t5.4323\t0.8600\t8.2456\t0.7871\t4.9721\t0.8961\t5.8278\t\n",
            "\u001b[1mEpoch [330]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9980\t5.4721\t0.8657\t8.6959\t0.8012\t4.8212\t0.9013\t5.6580\t\n",
            "\u001b[1mEpoch [331]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.2795\t0.8541\t8.5315\t0.8036\t4.6965\t0.9029\t5.5876\t\n",
            "\u001b[1mEpoch [332]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9978\t5.3914\t0.8535\t8.6886\t0.8056\t4.6213\t0.9093\t5.2129\t\n",
            "\u001b[1mEpoch [333]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0087\t0.0033\t0.0121\t0.9979\t5.5832\t0.8326\t9.4082\t0.7819\t5.1316\t0.9022\t4.9806\t\n",
            "\u001b[1mEpoch [334]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0033\t0.0117\t0.9979\t5.4291\t0.8616\t8.7076\t0.7844\t4.8631\t0.8927\t5.6813\t\n",
            "\u001b[1mEpoch [335]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9978\t5.3435\t0.8531\t9.4597\t0.8000\t4.6202\t0.9054\t5.2754\t\n",
            "\u001b[1mEpoch [336]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0034\t0.0122\t0.9976\t5.5798\t0.8379\t8.6247\t0.7852\t4.9539\t0.8900\t5.8576\t\n",
            "\u001b[1mEpoch [337]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.5058\t0.8532\t8.8483\t0.7931\t4.8453\t0.9022\t5.3790\t\n",
            "\u001b[1mEpoch [338]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9978\t5.2740\t0.8428\t9.2953\t0.7971\t4.7331\t0.9022\t5.4370\t\n",
            "\u001b[1mEpoch [339]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0118\t0.9978\t5.4502\t0.8437\t9.1082\t0.7817\t5.1859\t0.9019\t5.1823\t\n",
            "\u001b[1mEpoch [340]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0117\t0.9977\t5.4901\t0.8448\t8.6298\t0.7947\t4.6586\t0.9024\t5.5976\t\n",
            "\u001b[1mEpoch [341]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0074\t0.0027\t0.0102\t0.9981\t5.3739\t0.8759\t8.1046\t0.8145\t4.5182\t0.9096\t5.0042\t\n",
            "\u001b[1mEpoch [342]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0030\t0.0112\t0.9980\t5.4542\t0.8539\t8.9712\t0.7968\t5.0014\t0.9043\t5.4126\t\n",
            "\u001b[1mEpoch [343]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0111\t0.9979\t5.3381\t0.8477\t8.7299\t0.8072\t4.6455\t0.9053\t5.3960\t\n",
            "\u001b[1mEpoch [344]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0111\t0.9980\t5.6562\t0.8696\t8.2836\t0.7933\t4.7653\t0.8964\t6.0149\t\n",
            "\u001b[1mEpoch [345]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0108\t0.9980\t5.4369\t0.8713\t8.0742\t0.8032\t4.6478\t0.9043\t4.9715\t\n",
            "\u001b[1mEpoch [346]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9978\t5.3756\t0.8464\t8.5278\t0.8047\t4.5455\t0.9079\t5.0995\t\n",
            "\u001b[1mEpoch [347]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.5941\t0.8682\t8.1432\t0.8022\t4.7526\t0.9113\t5.1477\t\n",
            "\u001b[1mEpoch [348]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9980\t5.6263\t0.8702\t8.1885\t0.7964\t4.6309\t0.9042\t5.1790\t\n",
            "\u001b[1mEpoch [349]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9978\t5.3922\t0.8643\t8.3796\t0.7925\t4.8827\t0.9027\t5.0616\t\n",
            "\u001b[1mEpoch [350]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9979\t5.3790\t0.8498\t8.5633\t0.7895\t5.0080\t0.8947\t5.4589\t\n",
            "\u001b[1mEpoch [351]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9979\t5.3741\t0.8430\t9.2394\t0.7962\t4.7354\t0.8987\t5.4743\t\n",
            "\u001b[1mEpoch [352]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0028\t0.0106\t0.9980\t5.5526\t0.8645\t8.5448\t0.8111\t4.6628\t0.9126\t4.7360\t\n",
            "\u001b[1mEpoch [353]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9980\t5.4280\t0.8676\t8.2349\t0.8071\t4.7880\t0.9064\t5.3775\t\n",
            "\u001b[1mEpoch [354]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.6729\t0.8573\t8.2025\t0.7875\t5.1346\t0.9063\t4.5267\t\n",
            "\u001b[1mEpoch [355]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9979\t5.4818\t0.8652\t8.4610\t0.8073\t4.6170\t0.9066\t5.2379\t\n",
            "\u001b[1mEpoch [356]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9979\t5.4720\t0.8644\t8.3540\t0.8029\t4.8663\t0.9104\t4.7585\t\n",
            "\u001b[1mEpoch [357]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0033\t0.0118\t0.9978\t5.2726\t0.8653\t8.4024\t0.7834\t4.8276\t0.8919\t5.6604\t\n",
            "\u001b[1mEpoch [358]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0111\t0.9980\t5.3642\t0.8666\t8.1313\t0.8035\t4.6633\t0.8967\t5.9132\t\n",
            "\u001b[1mEpoch [359]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9980\t5.2968\t0.8594\t8.2905\t0.8084\t4.7646\t0.9124\t4.6788\t\n",
            "\u001b[1mEpoch [360]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9980\t5.4845\t0.8737\t8.0529\t0.7903\t4.5811\t0.9007\t4.9730\t\n",
            "\u001b[1mEpoch [361]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9980\t5.3201\t0.8498\t9.1068\t0.7963\t4.8249\t0.9019\t5.3501\t\n",
            "\u001b[1mEpoch [362]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9979\t5.3723\t0.8645\t8.3453\t0.8106\t4.6632\t0.9110\t4.8463\t\n",
            "\u001b[1mEpoch [363]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.4833\t0.8688\t7.9405\t0.8036\t4.7335\t0.9063\t5.0626\t\n",
            "\u001b[1mEpoch [364]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9980\t5.5396\t0.8638\t8.5483\t0.8099\t4.6046\t0.9058\t4.9403\t\n",
            "\u001b[1mEpoch [365]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9979\t5.6088\t0.8651\t8.7320\t0.8059\t4.6915\t0.9137\t5.1260\t\n",
            "\u001b[1mEpoch [366]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9980\t5.5341\t0.8676\t8.5321\t0.8114\t4.5832\t0.9125\t5.0960\t\n",
            "\u001b[1mEpoch [367]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9979\t5.6037\t0.8693\t8.7011\t0.8002\t4.8624\t0.9073\t5.0831\t\n",
            "\u001b[1mEpoch [368]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9981\t5.3623\t0.8693\t8.4745\t0.8069\t4.8353\t0.9020\t5.2960\t\n",
            "\u001b[1mEpoch [369]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.3163\t0.8670\t8.3082\t0.7927\t4.7960\t0.9048\t5.1077\t\n",
            "\u001b[1mEpoch [370]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0114\t0.9980\t5.6146\t0.8575\t8.8778\t0.7946\t5.1144\t0.8943\t6.0540\t\n",
            "\u001b[1mEpoch [371]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.4465\t0.8622\t8.5712\t0.8113\t4.6988\t0.9109\t4.9061\t\n",
            "\u001b[1mEpoch [372]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9981\t5.3414\t0.8778\t8.3593\t0.8135\t4.5141\t0.9107\t4.9555\t\n",
            "\u001b[1mEpoch [373]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9977\t5.2763\t0.8542\t9.0830\t0.7810\t4.8562\t0.9060\t5.0193\t\n",
            "\u001b[1mEpoch [374]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0088\t0.0034\t0.0121\t0.9976\t5.6915\t0.8644\t8.5449\t0.7777\t5.0287\t0.8999\t5.4970\t\n",
            "\u001b[1mEpoch [375]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.4801\t0.8588\t9.0314\t0.7975\t4.9991\t0.9038\t5.6436\t\n",
            "\u001b[1mEpoch [376]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9977\t5.2481\t0.8526\t9.0184\t0.7954\t4.7924\t0.9062\t5.2517\t\n",
            "\u001b[1mEpoch [377]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0031\t0.0111\t0.9980\t5.4512\t0.8514\t9.0502\t0.7990\t4.8342\t0.9004\t5.7047\t\n",
            "\u001b[1mEpoch [378]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9980\t5.6229\t0.8707\t8.3635\t0.8058\t4.6221\t0.9068\t4.7851\t\n",
            "\u001b[1mEpoch [379]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0115\t0.9979\t5.4488\t0.8571\t8.7808\t0.7834\t5.3464\t0.8997\t5.3325\t\n",
            "\u001b[1mEpoch [380]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.5206\t0.8697\t8.0970\t0.7996\t4.7913\t0.9058\t5.1321\t\n",
            "\u001b[1mEpoch [381]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0031\t0.0111\t0.9980\t5.3762\t0.8608\t9.0655\t0.7898\t4.9737\t0.9010\t5.2575\t\n",
            "\u001b[1mEpoch [382]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9979\t5.4111\t0.8514\t8.5699\t0.8044\t4.6383\t0.9049\t5.2491\t\n",
            "\u001b[1mEpoch [383]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9980\t5.5724\t0.8612\t9.0835\t0.7985\t4.8649\t0.9036\t5.6830\t\n",
            "\u001b[1mEpoch [384]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0108\t0.9979\t5.2971\t0.8661\t8.5852\t0.8059\t4.7204\t0.9094\t5.0353\t\n",
            "\u001b[1mEpoch [385]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.3946\t0.8589\t8.9887\t0.7989\t4.8282\t0.9042\t5.3631\t\n",
            "\u001b[1mEpoch [386]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9980\t5.6172\t0.8696\t8.3748\t0.7974\t4.9386\t0.8969\t6.3052\t\n",
            "\u001b[1mEpoch [387]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.4744\t0.8620\t8.4910\t0.7938\t4.7896\t0.9012\t5.4213\t\n",
            "\u001b[1mEpoch [388]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9980\t5.3320\t0.8750\t8.5446\t0.8100\t4.5409\t0.9073\t5.4067\t\n",
            "\u001b[1mEpoch [389]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0111\t0.9977\t5.3093\t0.8578\t8.4874\t0.7972\t4.8508\t0.9087\t5.0681\t\n",
            "\u001b[1mEpoch [390]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.4418\t0.8484\t8.7039\t0.7967\t4.9071\t0.9072\t5.0727\t\n",
            "\u001b[1mEpoch [391]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0115\t0.9980\t5.4298\t0.8459\t9.1264\t0.7960\t5.1313\t0.9032\t5.7230\t\n",
            "\u001b[1mEpoch [392]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9978\t5.5291\t0.8463\t8.6585\t0.7870\t4.8375\t0.9012\t5.3493\t\n",
            "\u001b[1mEpoch [393]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.5811\t0.8593\t8.5169\t0.8092\t4.7340\t0.9108\t5.3282\t\n",
            "\u001b[1mEpoch [394]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0032\t0.0116\t0.9979\t5.2436\t0.8528\t8.6982\t0.7882\t4.8442\t0.8979\t5.7469\t\n",
            "\u001b[1mEpoch [395]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9980\t5.3282\t0.8776\t7.7613\t0.8049\t4.6403\t0.9057\t5.4707\t\n",
            "\u001b[1mEpoch [396]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9981\t5.4111\t0.8657\t8.6977\t0.8091\t4.6568\t0.9090\t5.3897\t\n",
            "\u001b[1mEpoch [397]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.4811\t0.8633\t8.4312\t0.8032\t4.8506\t0.9064\t5.4842\t\n",
            "\u001b[1mEpoch [398]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0108\t0.9981\t5.4196\t0.8659\t8.5563\t0.8000\t4.7762\t0.9042\t5.0084\t\n",
            "\u001b[1mEpoch [399]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.5673\t0.8579\t8.4304\t0.8053\t4.6535\t0.9057\t5.1843\t\n",
            "\u001b[1mEpoch [400]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9977\t5.4115\t0.8420\t8.6314\t0.7903\t5.0244\t0.9003\t5.1275\t\n",
            "\u001b[1mEpoch [401]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9981\t5.5033\t0.8816\t8.1192\t0.8020\t4.6671\t0.9015\t5.5305\t\n",
            "\u001b[1mEpoch [402]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.3220\t0.8663\t8.3848\t0.8074\t4.8111\t0.9063\t5.0356\t\n",
            "\u001b[1mEpoch [403]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0083\t0.0031\t0.0114\t0.9978\t5.8622\t0.8678\t8.5338\t0.7917\t4.7408\t0.9065\t4.8209\t\n",
            "\u001b[1mEpoch [404]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0109\t0.9980\t5.4085\t0.8656\t8.5363\t0.8000\t4.6577\t0.9040\t4.8223\t\n",
            "\u001b[1mEpoch [405]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9979\t5.4742\t0.8510\t8.5112\t0.8029\t4.7482\t0.9090\t4.8005\t\n",
            "\u001b[1mEpoch [406]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0105\t0.9980\t5.3864\t0.8759\t8.5619\t0.8094\t4.7183\t0.9108\t4.9589\t\n",
            "\u001b[1mEpoch [407]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0111\t0.9978\t5.3602\t0.8627\t8.6579\t0.7968\t4.7254\t0.9091\t4.9089\t\n",
            "\u001b[1mEpoch [408]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0032\t0.0114\t0.9978\t5.4005\t0.8472\t8.6504\t0.8012\t4.5201\t0.9053\t5.0604\t\n",
            "\u001b[1mEpoch [409]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9980\t5.3479\t0.8695\t8.7935\t0.7933\t4.6853\t0.8966\t5.3230\t\n",
            "\u001b[1mEpoch [410]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0031\t0.0111\t0.9980\t5.4619\t0.8678\t8.3661\t0.7935\t4.8600\t0.9003\t5.1181\t\n",
            "\u001b[1mEpoch [411]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9981\t5.3582\t0.8692\t8.4176\t0.8085\t4.7381\t0.9086\t4.7973\t\n",
            "\u001b[1mEpoch [412]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9980\t5.7213\t0.8676\t8.4796\t0.7990\t4.8382\t0.9066\t4.6763\t\n",
            "\u001b[1mEpoch [413]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0109\t0.9980\t5.5408\t0.8709\t8.2673\t0.7962\t4.8945\t0.9029\t4.7780\t\n",
            "\u001b[1mEpoch [414]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9981\t5.3205\t0.8598\t8.6118\t0.8015\t4.8678\t0.9039\t5.0670\t\n",
            "\u001b[1mEpoch [415]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9981\t5.2658\t0.8723\t8.1503\t0.8212\t4.4829\t0.9050\t5.7753\t\n",
            "\u001b[1mEpoch [416]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9981\t5.6659\t0.8722\t8.3491\t0.8136\t4.4863\t0.9032\t5.6208\t\n",
            "\u001b[1mEpoch [417]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0108\t0.9980\t5.5288\t0.8739\t8.7003\t0.8062\t4.6702\t0.9072\t5.3854\t\n",
            "\u001b[1mEpoch [418]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9981\t5.3950\t0.8727\t8.4965\t0.8036\t4.7933\t0.9051\t5.2998\t\n",
            "\u001b[1mEpoch [419]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.5466\t0.8688\t8.0583\t0.7921\t4.7196\t0.8987\t5.4888\t\n",
            "\u001b[1mEpoch [420]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9980\t5.3705\t0.8456\t9.1111\t0.8039\t4.8795\t0.9036\t5.5959\t\n",
            "\u001b[1mEpoch [421]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0111\t0.9979\t5.4180\t0.8640\t8.4468\t0.8024\t4.7264\t0.9008\t5.6636\t\n",
            "\u001b[1mEpoch [422]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0114\t0.9980\t5.4575\t0.8542\t8.9992\t0.7894\t5.0005\t0.9059\t5.0473\t\n",
            "\u001b[1mEpoch [423]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0111\t0.9979\t5.6234\t0.8603\t8.4251\t0.8000\t4.7604\t0.9036\t5.3342\t\n",
            "\u001b[1mEpoch [424]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0108\t0.9980\t5.2265\t0.8702\t8.7096\t0.8032\t4.6375\t0.9026\t5.2026\t\n",
            "\u001b[1mEpoch [425]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9980\t5.3403\t0.8706\t8.0974\t0.7890\t4.9555\t0.8998\t4.6846\t\n",
            "\u001b[1mEpoch [426]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9980\t5.5870\t0.8599\t8.4547\t0.7951\t4.9336\t0.9043\t5.1817\t\n",
            "\u001b[1mEpoch [427]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9980\t5.6741\t0.8596\t8.7238\t0.7938\t5.0893\t0.9059\t4.8646\t\n",
            "\u001b[1mEpoch [428]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9981\t5.4415\t0.8713\t8.1686\t0.8108\t4.6138\t0.9048\t5.4397\t\n",
            "\u001b[1mEpoch [429]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.4396\t0.8769\t8.2184\t0.7962\t4.9959\t0.8998\t5.3592\t\n",
            "\u001b[1mEpoch [430]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0114\t0.9979\t5.5363\t0.8567\t9.0620\t0.7972\t4.7929\t0.9070\t5.0096\t\n",
            "\u001b[1mEpoch [431]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0111\t0.9979\t5.4058\t0.8449\t8.7759\t0.7938\t4.9878\t0.9042\t5.0092\t\n",
            "\u001b[1mEpoch [432]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0074\t0.0027\t0.0101\t0.9982\t5.4725\t0.8809\t8.1330\t0.8157\t4.5315\t0.9072\t5.4279\t\n",
            "\u001b[1mEpoch [433]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.4213\t0.8701\t8.3589\t0.8046\t4.6778\t0.8992\t5.8754\t\n",
            "\u001b[1mEpoch [434]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.2922\t0.8584\t8.7097\t0.8069\t4.5420\t0.9115\t5.0072\t\n",
            "\u001b[1mEpoch [435]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9980\t5.5364\t0.8720\t7.9899\t0.8131\t4.6143\t0.9058\t5.3622\t\n",
            "\u001b[1mEpoch [436]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9981\t5.3155\t0.8753\t7.9860\t0.8109\t4.5657\t0.9074\t5.0837\t\n",
            "\u001b[1mEpoch [437]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0033\t0.0116\t0.9979\t5.2538\t0.8566\t8.6341\t0.7808\t4.9292\t0.9011\t5.1322\t\n",
            "\u001b[1mEpoch [438]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0032\t0.0114\t0.9979\t5.4060\t0.8679\t8.3255\t0.7858\t4.8705\t0.8984\t5.4117\t\n",
            "\u001b[1mEpoch [439]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0032\t0.0114\t0.9980\t5.5251\t0.8621\t8.7309\t0.7937\t4.7473\t0.8930\t6.1400\t\n",
            "\u001b[1mEpoch [440]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9978\t5.1763\t0.8709\t8.2505\t0.7889\t4.9363\t0.9016\t5.6680\t\n",
            "\u001b[1mEpoch [441]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0031\t0.0111\t0.9980\t5.3970\t0.8579\t8.6503\t0.7980\t4.6142\t0.9026\t5.4181\t\n",
            "\u001b[1mEpoch [442]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0029\t0.0104\t0.9980\t5.3865\t0.8690\t8.2140\t0.8048\t4.5070\t0.9074\t5.2308\t\n",
            "\u001b[1mEpoch [443]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0028\t0.0105\t0.9980\t5.4858\t0.8727\t8.2851\t0.8110\t4.8363\t0.9172\t4.8809\t\n",
            "\u001b[1mEpoch [444]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.3197\t0.8653\t8.4153\t0.8000\t4.9316\t0.9088\t4.9051\t\n",
            "\u001b[1mEpoch [445]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0105\t0.9979\t5.0564\t0.8711\t8.2338\t0.8021\t4.6657\t0.9092\t4.8983\t\n",
            "\u001b[1mEpoch [446]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0030\t0.0111\t0.9979\t5.6200\t0.8656\t8.3238\t0.7936\t4.9475\t0.9049\t4.7940\t\n",
            "\u001b[1mEpoch [447]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0105\t0.9981\t5.4390\t0.8696\t8.5312\t0.8131\t4.4799\t0.9053\t5.6155\t\n",
            "\u001b[1mEpoch [448]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.5840\t0.8674\t8.7399\t0.8083\t4.6435\t0.9021\t5.6102\t\n",
            "\u001b[1mEpoch [449]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0108\t0.9980\t5.2140\t0.8629\t8.5532\t0.8075\t4.7388\t0.9060\t5.4654\t\n",
            "\u001b[1mEpoch [450]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0084\t0.0032\t0.0116\t0.9977\t5.6260\t0.8476\t9.1361\t0.7950\t5.0259\t0.9051\t5.2010\t\n",
            "\u001b[1mEpoch [451]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.4782\t0.8755\t8.3789\t0.7952\t4.9992\t0.9011\t5.4038\t\n",
            "\u001b[1mEpoch [452]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0108\t0.9980\t5.4563\t0.8654\t8.4038\t0.8063\t4.7540\t0.9108\t5.2134\t\n",
            "\u001b[1mEpoch [453]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0073\t0.0027\t0.0099\t0.9982\t5.3927\t0.8855\t8.1375\t0.8188\t4.5269\t0.9085\t5.1817\t\n",
            "\u001b[1mEpoch [454]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9981\t5.5228\t0.8776\t8.2895\t0.8090\t4.5473\t0.9020\t5.3134\t\n",
            "\u001b[1mEpoch [455]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9979\t5.6485\t0.8541\t8.6392\t0.7980\t4.6867\t0.8997\t5.6778\t\n",
            "\u001b[1mEpoch [456]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9981\t5.3080\t0.8731\t8.1823\t0.8069\t4.6009\t0.8998\t5.4134\t\n",
            "\u001b[1mEpoch [457]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9980\t5.5233\t0.8705\t8.5531\t0.8053\t4.7622\t0.9097\t5.1534\t\n",
            "\u001b[1mEpoch [458]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0105\t0.9981\t5.5448\t0.8683\t8.6679\t0.8068\t4.5786\t0.9070\t4.9758\t\n",
            "\u001b[1mEpoch [459]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0107\t0.9980\t5.6129\t0.8724\t8.1653\t0.8052\t4.7220\t0.9101\t5.1884\t\n",
            "\u001b[1mEpoch [460]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.6137\t0.8790\t8.1303\t0.8058\t4.6680\t0.9072\t5.2580\t\n",
            "\u001b[1mEpoch [461]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0031\t0.0111\t0.9979\t5.4462\t0.8570\t8.6540\t0.8048\t4.7463\t0.9019\t5.5789\t\n",
            "\u001b[1mEpoch [462]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0108\t0.9979\t5.5435\t0.8641\t8.2996\t0.8011\t4.8650\t0.9090\t5.1092\t\n",
            "\u001b[1mEpoch [463]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0033\t0.0118\t0.9980\t5.5293\t0.8458\t9.3518\t0.7785\t5.2772\t0.8959\t5.0456\t\n",
            "\u001b[1mEpoch [464]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0030\t0.0107\t0.9980\t5.1416\t0.8738\t8.3661\t0.7993\t4.6189\t0.9012\t5.4507\t\n",
            "\u001b[1mEpoch [465]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9979\t5.7215\t0.8665\t8.8803\t0.8053\t4.8497\t0.9063\t5.2025\t\n",
            "\u001b[1mEpoch [466]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9981\t5.6134\t0.8736\t8.3762\t0.8072\t4.6655\t0.9060\t5.2211\t\n",
            "\u001b[1mEpoch [467]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0075\t0.0028\t0.0103\t0.9980\t5.3427\t0.8749\t8.0749\t0.8110\t4.6004\t0.9120\t5.0510\t\n",
            "\u001b[1mEpoch [468]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0113\t0.9980\t5.4717\t0.8660\t8.5600\t0.7904\t4.9428\t0.8981\t5.2854\t\n",
            "\u001b[1mEpoch [469]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0108\t0.9979\t5.4770\t0.8761\t8.0814\t0.7993\t4.8194\t0.9077\t5.1758\t\n",
            "\u001b[1mEpoch [470]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0029\t0.0105\t0.9981\t5.2300\t0.8752\t8.2329\t0.8111\t4.4825\t0.9032\t5.6967\t\n",
            "\u001b[1mEpoch [471]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.4327\t0.8732\t8.3832\t0.7974\t4.8040\t0.9020\t5.0521\t\n",
            "\u001b[1mEpoch [472]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9980\t5.5208\t0.8605\t8.3733\t0.8003\t4.7162\t0.9077\t4.9370\t\n",
            "\u001b[1mEpoch [473]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0030\t0.0108\t0.9980\t5.1802\t0.8732\t8.4038\t0.8036\t4.6528\t0.9029\t5.3286\t\n",
            "\u001b[1mEpoch [474]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0105\t0.9980\t5.2056\t0.8647\t8.5234\t0.8119\t4.5805\t0.9075\t4.7796\t\n",
            "\u001b[1mEpoch [475]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0075\t0.0028\t0.0102\t0.9981\t5.0583\t0.8789\t7.7261\t0.8159\t4.3771\t0.9102\t5.1850\t\n",
            "\u001b[1mEpoch [476]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.5158\t0.8593\t8.8832\t0.7993\t4.7567\t0.9083\t5.1943\t\n",
            "\u001b[1mEpoch [477]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.2809\t0.8423\t9.3048\t0.8098\t4.6587\t0.9083\t5.1639\t\n",
            "\u001b[1mEpoch [478]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0029\t0.0106\t0.9980\t5.6044\t0.8752\t8.3887\t0.8016\t4.7662\t0.9045\t4.9396\t\n",
            "\u001b[1mEpoch [479]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0110\t0.9980\t5.3002\t0.8683\t8.3078\t0.8012\t4.7974\t0.8990\t5.8271\t\n",
            "\u001b[1mEpoch [480]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0111\t0.9980\t5.4146\t0.8590\t8.5711\t0.7963\t4.9615\t0.9020\t5.3900\t\n",
            "\u001b[1mEpoch [481]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9979\t5.3941\t0.8527\t8.3592\t0.8020\t4.7007\t0.9101\t5.1805\t\n",
            "\u001b[1mEpoch [482]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0030\t0.0107\t0.9981\t5.4026\t0.8672\t8.7147\t0.8135\t4.7274\t0.9013\t5.6982\t\n",
            "\u001b[1mEpoch [483]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9980\t5.3933\t0.8712\t8.6543\t0.7905\t4.9493\t0.8952\t5.8559\t\n",
            "\u001b[1mEpoch [484]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0075\t0.0028\t0.0102\t0.9982\t5.4857\t0.8778\t8.4805\t0.8136\t4.4506\t0.9043\t5.6114\t\n",
            "\u001b[1mEpoch [485]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0031\t0.0111\t0.9979\t5.3389\t0.8412\t9.1728\t0.7993\t4.8868\t0.9080\t5.2161\t\n",
            "\u001b[1mEpoch [486]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0029\t0.0108\t0.9980\t5.3491\t0.8583\t8.7516\t0.8015\t4.9193\t0.9057\t5.3198\t\n",
            "\u001b[1mEpoch [487]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9978\t5.5506\t0.8702\t8.1809\t0.7941\t4.8224\t0.9017\t5.4224\t\n",
            "\u001b[1mEpoch [488]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9981\t5.3068\t0.8587\t8.7901\t0.8107\t4.9290\t0.9129\t5.2024\t\n",
            "\u001b[1mEpoch [489]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0080\t0.0030\t0.0110\t0.9981\t5.4673\t0.8712\t8.2031\t0.7986\t4.8323\t0.8988\t6.3280\t\n",
            "\u001b[1mEpoch [490]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0073\t0.0027\t0.0100\t0.9981\t5.3337\t0.8610\t8.4065\t0.8184\t4.4938\t0.9116\t4.7906\t\n",
            "\u001b[1mEpoch [491]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0073\t0.0027\t0.0100\t0.9981\t5.4459\t0.8803\t8.3767\t0.8151\t4.5256\t0.9122\t4.9684\t\n",
            "\u001b[1mEpoch [492]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9982\t5.3695\t0.8737\t8.3578\t0.8065\t4.6350\t0.8974\t5.9730\t\n",
            "\u001b[1mEpoch [493]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0081\t0.0031\t0.0112\t0.9980\t5.3496\t0.8658\t8.5450\t0.7891\t4.9523\t0.8988\t5.1569\t\n",
            "\u001b[1mEpoch [494]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0082\t0.0031\t0.0114\t0.9979\t5.5167\t0.8596\t8.9545\t0.7948\t5.0427\t0.9038\t5.3108\t\n",
            "\u001b[1mEpoch [495]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0079\t0.0030\t0.0109\t0.9980\t5.4829\t0.8697\t8.6256\t0.8044\t4.7934\t0.9035\t5.1629\t\n",
            "\u001b[1mEpoch [496]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0076\t0.0028\t0.0104\t0.9981\t5.5249\t0.8683\t9.1313\t0.8065\t4.6954\t0.9089\t5.0871\t\n",
            "\u001b[1mEpoch [497]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0078\t0.0029\t0.0107\t0.9981\t5.4841\t0.8639\t8.9106\t0.8088\t4.6270\t0.9066\t5.2141\t\n",
            "\u001b[1mEpoch [498]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0077\t0.0028\t0.0105\t0.9981\t5.5053\t0.8690\t8.4566\t0.8070\t4.9449\t0.9084\t4.7877\t\n",
            "\u001b[1mEpoch [499]\u001b[0m\n",
            "BKGDLo\tBKMSEL\tTotal\tBK_dc\tBK_hd\tRV_dc\tRV_hd\tMYO_dc\tMYO_hd\tLV_dc\tLV_hd\t\n",
            "0.0085\t0.0032\t0.0117\t0.9977\t5.6573\t0.8749\t8.8105\t0.7884\t4.8105\t0.8990\t5.6421\t\n"
          ]
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "upload_your_own_parameters = True\n",
        "\n",
        "if upload_your_own_parameters:\n",
        "    optimal_parameters = np.load(os.path.join(\"preprocessed\", \"optimal_parameters.npy\"), allow_pickle=True).item()\n",
        "else:\n",
        "    optimal_parameters = {\n",
        "        \"BATCH_SIZE\": 8,\n",
        "        \"DA\": False,\n",
        "        \"latent_size\": 100,\n",
        "        \"optimizer\": torch.optim.Adam,\n",
        "        \"lr\": 2e-4,\n",
        "        \"weight_decay\": 1e-5,\n",
        "        \"functions\": [\"BKGDLoss\", \"BKMSELoss\"],\n",
        "        \"settling_epochs_BKGDLoss\": 10,\n",
        "        \"settling_epochs_BKMSELoss\": 0\n",
        "    }\n",
        "\n",
        "assert optimal_parameters is not None, \"Be sure to continue with a working set of hyperparameters\"\n",
        "\n",
        "BATCH_SIZE = optimal_parameters[\"BATCH_SIZE\"]\n",
        "DA = optimal_parameters[\"DA\"]\n",
        "\n",
        "ae = AE(**optimal_parameters).to(device)\n",
        "\n",
        "ckpt = None\n",
        "if ckpt is not None:\n",
        "    ckpt = torch.load(ckpt)\n",
        "    ae.load_state_dict(ckpt[\"AE\"])\n",
        "    ae.optimizer.load_state_dict(ckpt[\"AE_optim\"])\n",
        "    start = ckpt[\"epoch\"]+1\n",
        "else:\n",
        "    start = 0\n",
        "\n",
        "print(ae)\n",
        "\n",
        "plot_history(\n",
        "    ae.training_routine(\n",
        "        range(start, 500),\n",
        "        ACDCDataLoader(\"preprocessed/training\", patient_ids=train_ids, batch_size=BATCH_SIZE, transform=transform_augmentation if DA else transform),\n",
        "        ACDCDataLoader(\"preprocessed/training\", patient_ids=val_ids, batch_size=BATCH_SIZE, transform=transform),\n",
        "        \"checkpoints/\"\n",
        "    )\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K0SXjutg1lQP"
      },
      "source": [
        "## Testing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "F9M9oZQMOxDT"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import torch\n",
        "import nibabel as nib\n",
        "from CA import AE\n",
        "from utils import testing, display_image, display_difference, process_results, display_plots, ACDCDataLoader\n",
        "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aqqohIrvpfmj"
      },
      "outputs": [],
      "source": [
        "optimal_parameters = np.load(os.path.join(\"preprocessed\", \"optimal_parameters.npy\"), allow_pickle=True).item()\n",
        "assert optimal_parameters is not None, \"Be sure to continue with a working set of hyperparameters\"\n",
        "\n",
        "ckpt = os.path.join(\"checkpoints\", sorted([file for file in os.listdir(\"checkpoints\") if \"_best\" in file])[-1])\n",
        "ckpt = torch.load(ckpt)\n",
        "\n",
        "ae = AE(**optimal_parameters).to(device)\n",
        "ae.load_state_dict(ckpt[\"AE\"])\n",
        "ae.optimizer.load_state_dict(ckpt[\"AE_optim\"])\n",
        "ae.eval();"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vn5gKFJgH-86"
      },
      "outputs": [],
      "source": [
        "patient_info = np.load(\"preprocessed/patient_info.npy\", allow_pickle=True).item()\n",
        "#spacings = [patient_info[id][\"spacing\"] for id in range(1, 101)]\n",
        "#current_spacing = np.percentile(np.vstack(spacings), 50, 0)\n",
        "current_spacing = [10, 1.25, 1.25]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gBD79i6O9Ves"
      },
      "outputs": [],
      "source": [
        "test_loaders = {}\n",
        "for model in os.listdir(\"preprocessed/predictions/\"):\n",
        "    test_loaders[model] = ACDCDataLoader(\"preprocessed/predictions/{}\".format(model), patient_ids=range(101, 151), batch_size=BATCH_SIZE, transform=transform)\n",
        "\n",
        "if not os.path.exists(\"postprocessed/measures\"):\n",
        "    os.makedirs(\"postprocessed/measures\")\n",
        "for model in sorted(test_loaders.keys()):\n",
        "    if not os.path.exists(\"postprocessed/predictions/{}\".format(model)):\n",
        "        os.makedirs(\"postprocessed/predictions/{}\".format(model))\n",
        "    results = testing(ae, test_loaders[model], patient_info, \"data/predictions/{}\".format(model), \"postprocessed/predictions/{}\".format(model), current_spacing)\n",
        "    np.save(\"postprocessed/measures/{}_AE.npy\".format(model), results)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uTyq0Q4V7V1U"
      },
      "source": [
        "### Single patient"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LnzjGVC47Y06"
      },
      "outputs": [],
      "source": [
        "model = \"Bai\"\n",
        "patient_id = 102\n",
        "phase = \"ED\"\n",
        "\n",
        "prediction = nib.load(\"data/predictions/{}/patient{:03d}_{}.nii.gz\".format(model, patient_id, phase)).get_fdata().transpose(2, 1, 0)\n",
        "reconstruction = nib.load(\"postprocessed/predictions/{}/patient{:03d}_{}.nii.gz\".format(model, patient_id, phase)).get_fdata().transpose(2, 1, 0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "0IkkskWafqMN",
        "outputId": "320f2129-b061-4ef0-cdfe-5bc78a6f2e1c"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=L size=216x256 at 0x7EFFA32A9510>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from utils import display_image, display_difference\n",
        "display_image(prediction[2])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "F_v-gmYtZdF1",
        "outputId": "1b56dbc3-7bca-42ae-865a-e5b1fb1618f9"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=L size=216x256 at 0x7EFFA0CEFC50>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "display_image(reconstruction[2])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        },
        "id": "jjSWLoPe8ugI",
        "outputId": "24041381-8170-463f-ad91-9c574a57b98c"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=216x256 at 0x7EFFA0C99F50>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "display_difference(prediction[2], reconstruction[2])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aeVqdQp-TujS"
      },
      "source": [
        "### Plots"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ozYFOIGRTvHz",
        "outputId": "7cb0bdeb-474c-429e-dd25-df08d4838d5f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Anomalies (DSC=0/HD=nan): 16\n",
            "Spotted by CA: 15\n",
            "False Positive by CA: 4\n",
            "Total discarded from the next plots: 20\n"
          ]
        }
      ],
      "source": [
        "models = [\"Bai\", \"Baumgartner\", \"Grinias\", \"Isensee\", \"Khened\", \"Yang\"]\n",
        "plots = process_results(models, \"data/measures/\", \"postprocessed/measures/\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "t8rhL2eyTXxM",
        "outputId": "a2c45a09-8c45-4d9f-c64c-28b2c7858088"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGBA size=900x600 at 0x7EFF4676D090>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "display_plots(plots)"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [
        "3JDznSZY9fyQ",
        "x_ybwFnEnm5y"
      ],
      "machine_shape": "hm",
      "name": "QC (2).ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}