examples/1_tabular_explanation.ipynb

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   "source": [
    "# Explaining Outcomes from Black Box Models\n",
    "\n",
    "This notebook demonstrates how SLISE can be used to explain outcomes from black box models.\n",
    "\n",
    "The way SLISE explains outcomes is based upon locally approximating the complex model with a simpler one.\n",
    "This is not a new idea, see, e.g., [LIME](https://github.com/marcotcr/lime) and [SHAP](https://github.com/slundberg/shap). What SLISE does different is that we don't create any new (potentially unrealistic) data, and instead use existing data and predictions. The way we accomplish this is by fitting a (sparse) linear model that suits the item being explained, and a subset (/neighbourhood) of items with a bounded error. See the [paper](https://rdcu.be/bVbda) for full details."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Prerequisites\n",
    "\n",
    "- SLISE (for explanations)\n",
    "- NumPy (for numerical operations)\n",
    "- Matplotlib (for plots)\n",
    "- TensorFlow (for the neural network and data loading)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import slise\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from tensorflow import keras"
   ]
  },
  {
   "source": [
    "## Dataset\n",
    "\n",
    "The dataset is the boston housing dataset with 13 variables where the task is to predict the median value of homes in different areas."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "(x_train, y_train), (x_test, y_test) = keras.datasets.boston_housing.load_data(seed=42)\n",
    "variables = [\"CRIM\", \"ZN\", \"INDUS\", \"CHAS\", \"NOX\", \"RM\", \"AGE\", \"DIS\", \"RAD\", \"TAX\", \"PTRATIO\", \"B\", \"LSTAT\"]"
   ]
  },
  {
   "source": [
    "The meaning of the variables are:\n",
    "\n",
    "| Variable | Description |\n",
    "|----------|-------------|\n",
    "| CRIM     | per capita crime rate by town |\n",
    "| ZN       | proportion of residential land zoned for lots over 25,000 sq.ft. |\n",
    "| INDUS    | proportion of non-retail business acres per town |\n",
    "| CHAS     | Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) |\n",
    "| NOX      | nitric oxides concentration (parts per 10 million) |\n",
    "| RM       | average number of rooms per dwelling |\n",
    "| AGE      | proportion of owner-occupied units built prior to 1940 |\n",
    "| DIS      | weighted distances to five Boston employment centres |\n",
    "| RAD      | index of accessibility to radial highways |\n",
    "| TAX      | full-value property-tax rate per $10,000 |\n",
    "| PTRATIO  | pupil-teacher ratio by town |\n",
    "| B        | 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town |\n",
    "| LSTAT    | % lower status of the population |\n",
    "\n",
    "The response is the median value of owner-occupied homes in $1000's."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Model\n",
    "\n",
    "As the black box model we use a simple neural network with three hidden layers, ReLU activations, batch normalisation, and dropout."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Model: \"sequential\"\n_________________________________________________________________\nLayer (type)                 Output Shape              Param #   \n=================================================================\ndense (Dense)                (None, 32)                448       \n_________________________________________________________________\nbatch_normalization (BatchNo (None, 32)                128       \n_________________________________________________________________\ndense_1 (Dense)              (None, 64)                2112      \n_________________________________________________________________\nbatch_normalization_1 (Batch (None, 64)                256       \n_________________________________________________________________\ndense_2 (Dense)              (None, 32)                2080      \n_________________________________________________________________\ndropout (Dropout)            (None, 32)                0         \n_________________________________________________________________\ndense_3 (Dense)              (None, 1)                 33        \n=================================================================\nTotal params: 5,057\nTrainable params: 4,865\nNon-trainable params: 192\n_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = keras.Sequential(\n",
    "    [\n",
    "        keras.Input(shape=13),\n",
    "        keras.layers.Dense(32, activation=\"relu\"),\n",
    "        keras.layers.BatchNormalization(),\n",
    "        keras.layers.Dense(64, activation=\"relu\"),\n",
    "        keras.layers.BatchNormalization(),\n",
    "        keras.layers.Dense(32, activation=\"relu\"),\n",
    "        keras.layers.Dropout(0.5),\n",
    "        keras.layers.Dense(1),\n",
    "    ]\n",
    ")\n",
    "model.summary()"
   ]
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   "execution_count": 4,
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     "text": [
      "Epoch 1/16\n",
      "6/6 [==============================] - 0s 22ms/step - loss: 567.7059 - val_loss: 568.0767\n",
      "Epoch 2/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 520.2480 - val_loss: 575.4934\n",
      "Epoch 3/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 482.2212 - val_loss: 572.2572\n",
      "Epoch 4/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 448.5967 - val_loss: 562.9951\n",
      "Epoch 5/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 413.5609 - val_loss: 551.7427\n",
      "Epoch 6/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 389.1068 - val_loss: 541.1149\n",
      "Epoch 7/16\n",
      "6/6 [==============================] - 0s 2ms/step - loss: 353.1598 - val_loss: 531.1224\n",
      "Epoch 8/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 320.4051 - val_loss: 522.1226\n",
      "Epoch 9/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 287.4419 - val_loss: 511.7709\n",
      "Epoch 10/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 261.4268 - val_loss: 500.1052\n",
      "Epoch 11/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 236.9608 - val_loss: 484.9343\n",
      "Epoch 12/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 214.5159 - val_loss: 465.4752\n",
      "Epoch 13/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 194.6712 - val_loss: 437.3615\n",
      "Epoch 14/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 174.4628 - val_loss: 407.5635\n",
      "Epoch 15/16\n",
      "6/6 [==============================] - 0s 3ms/step - loss: 177.0752 - val_loss: 375.2652\n",
      "Epoch 16/16\n",
      "6/6 [==============================] - 0s 4ms/step - loss: 158.3960 - val_loss: 342.1714\n",
      "4/4 [==============================] - 0s 750us/step - loss: 337.6773\n",
      "Test loss: 337.67730712890625\n"
     ]
    }
   ],
   "source": [
    "model.compile(loss = \"mean_squared_error\", optimizer=\"adam\")\n",
    "model.fit(x_train, y_train, batch_size=64, epochs=16, validation_split=0.1)\n",
    "print(\"Test loss:\", model.evaluate(x_test, y_test))"
   ]
  },
  {
   "source": [
    "## Explanation\n",
    "\n",
    "The variables have widely different magnitudes (e.g. \\[0,1\\] and \\[100, 700\\]) and since the magnitude of the linear model coefficients are inversely correlated to the variable magnitude this can cause issues for the (sparsity) regularisation. That's why we use SLISE with normalisation. It is also easier to judge the \"importance\" of different variables if the they have the same scales."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Neighbourhood size: 0.5297029702970297\n"
     ]
    }
   ],
   "source": [
    "item = 1\n",
    "x = x_test[item]\n",
    "y = model.predict(x_test)[item]\n",
    "p_train = model.predict(x_train).ravel()\n",
    "explanation = slise.explain(x_train, p_train, 0.4, x, y, lambda1=1, normalise=True)\n",
    "print(\"Neighbourhood size:\", explanation.subset().mean())"
   ]
  },
  {
   "source": [
    "One of the big advantages of SLISE is that it not only considers the model, but also the dataset. Thus, it can be interesting to compare the explained item to the rest of the dataset. To further this investigation we also plot the variable distributions of the dataset, and mark the explained item.\n",
    "\n",
    "The approximating linear model (normalised or unnormalised) tells us how we can \"modify\" the explained item to increase or decrese the prediction.\n",
    "\n",
    "Furthermore, we have the concept of \"terms\", which is the explained item times the approximating model. This allows us to manually reconstruct the prediction by summing together the terms (which helps us understand the linear model). \n",
    "\n",
    "The normalised terms includes a comparison to the rest of the dataset. If the model coefficient is positive but variable value is less than expected (median) then the terms will also be less than expected. The normalised terms represents this \"less than expected\" as a negative term (and vice versa for negative coefficients)."
   ],
   "cell_type": "markdown",
   "metadata": {}
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   "cell_type": "code",
   "execution_count": 6,
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "explanation.plot_dist(variables=variables, fig=plt.figure(figsize=(11, 16)))\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "The location we are investigating is predicted to have a medium home value. The prediction is positively impacted by the availability of jobs (INDUS), how new the houses are (AGE), and the relatively low property tax (TAX). The main downsides are how far the location is from any city centre (DIS) and how poor the connections are (RAD).\n",
    "\n",
    "Notice how the interpretation of the explanation is not only hinged on the local approximation but also how it interacts with the data (primarily the data item we are explaining). The locally approximating linear model tells us how the variables affect the prediction, but we have to combine it with data (terms) to understand the given outcome."
   ],
   "cell_type": "markdown",
   "metadata": {}
  }
 ]
}