Weighted Moving Average.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from matplotlib import rcParams\n",
    "rcParams['figure.figsize']=10,6\n",
    "import csv\n",
    "import numpy as np\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2=pd.read_csv('final_input_file.csv')\n",
    "#df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(12,8))\n",
    "plt.title(\"Task vs Time\")\n",
    "plt.xlabel(\"Time interval\")\n",
    "plt.ylabel(\"Number of instances\")\n",
    "plt.plot(df2.time_interval, df2.no_of_instances)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time, predicted, expected \n",
      " 15 9254 8375\n",
      "Time, predicted, expected \n",
      " 18 12100 14431\n",
      "Time, predicted, expected \n",
      " 21 9926 29231\n",
      "Time, predicted, expected \n",
      " 24 20249 26181\n",
      "Time, predicted, expected \n",
      " 27 21342 62225\n",
      "Time, predicted, expected \n",
      " 30 45156 16371\n",
      "Time, predicted, expected \n",
      " 33 23029 13337\n",
      "Time, predicted, expected \n",
      " 36 21403 24957\n",
      "Time, predicted, expected \n",
      " 39 26785 22465\n",
      "Time, predicted, expected \n",
      " 42 25168 33509\n",
      "Time, predicted, expected \n",
      " 45 27818 27614\n",
      "Time, predicted, expected \n",
      " 48 25995 37844\n",
      "Time, predicted, expected \n",
      " 51 33560 29999\n",
      "Time, predicted, expected \n",
      " 54 30142 18792\n",
      "Time, predicted, expected \n",
      " 57 24171 97007\n",
      "Time, predicted, expected \n",
      " 60 69629 69360\n",
      "Time, predicted, expected \n",
      " 63 59980 58208\n",
      "Time, predicted, expected \n",
      " 66 56440 30980\n",
      "Time, predicted, expected \n",
      " 69 42924 24095\n",
      "Time, predicted, expected \n",
      " 72 40012 15465\n",
      "Time, predicted, expected \n",
      " 75 27543 47854\n",
      "Time, predicted, expected \n",
      " 78 41587 28770\n",
      "Time, predicted, expected \n",
      " 81 29101 31513\n",
      "Time, predicted, expected \n",
      " 84 30526 8024\n",
      "Time, predicted, expected \n",
      " 87 17174 21380\n",
      "Time, predicted, expected \n",
      " 90 24444 20513\n",
      "Time, predicted, expected \n",
      " 93 21276 19727\n",
      "Time, predicted, expected \n",
      " 96 19979 8616\n",
      "Time, predicted, expected \n",
      " 99 12134 21318\n",
      "Time, predicted, expected \n",
      " 102 19814 59174\n",
      "Time, predicted, expected \n",
      " 105 42521 11699\n",
      "Time, predicted, expected \n",
      " 108 17902 32231\n",
      "Time, predicted, expected \n",
      " 111 29419 12084\n",
      "Time, predicted, expected \n",
      " 114 19692 32034\n",
      "Time, predicted, expected \n",
      " 117 30739 33136\n",
      "Time, predicted, expected \n",
      " 120 28686 49765\n",
      "Time, predicted, expected \n",
      " 123 40807 54757\n",
      "Time, predicted, expected \n",
      " 126 45556 95694\n",
      "Time, predicted, expected \n",
      " 129 74385 23541\n",
      "Time, predicted, expected \n",
      " 132 37459 6002\n",
      "Time, predicted, expected \n",
      " 135 25976 4667\n",
      "Time, predicted, expected \n",
      " 138 20799 30193\n",
      "Time, predicted, expected \n",
      " 141 31106 77322\n",
      "Time, predicted, expected \n",
      " 144 52833 7434\n",
      "Time, predicted, expected \n",
      " 147 16278 5601\n",
      "Time, predicted, expected \n",
      " 150 15322 19395\n",
      "Time, predicted, expected \n",
      " 153 23692 16847\n",
      "Time, predicted, expected \n",
      " 156 21083 47515\n",
      "Time, predicted, expected \n",
      " 159 33436 37272\n",
      "Time, predicted, expected \n",
      " 162 31299 46597\n",
      "Time, predicted, expected \n",
      " 165 40061 11486\n",
      "Time, predicted, expected \n",
      " 168 21714 45456\n",
      "Time, predicted, expected \n",
      " 171 41560 43106\n",
      "Time, predicted, expected \n",
      " 174 39944 39493\n",
      "Time, predicted, expected \n",
      " 177 38360 76652\n",
      "Time, predicted, expected \n",
      " 180 59945 52900\n",
      "Time, predicted, expected \n",
      " 183 52210 17585\n",
      "Time, predicted, expected \n",
      " 186 31766 59317\n",
      "Time, predicted, expected \n",
      " 189 54253 5150\n",
      "Time, predicted, expected \n",
      " 192 23735 4376\n",
      "Time, predicted, expected \n",
      " 195 16120 42933\n",
      "Time, predicted, expected \n",
      " 198 34402 59398\n",
      "Time, predicted, expected \n",
      " 201 46816 48180\n",
      "Time, predicted, expected \n",
      " 204 40093 42183\n",
      "Time, predicted, expected \n",
      " 207 40798 14211\n",
      "Time, predicted, expected \n",
      " 210 27796 13021\n",
      "Time, predicted, expected \n",
      " 213 24209 30710\n",
      "Time, predicted, expected \n",
      " 216 30185 11928\n",
      "Time, predicted, expected \n",
      " 219 17169 12740\n",
      "Time, predicted, expected \n",
      " 222 14631 37376\n",
      "Time, predicted, expected \n",
      " 225 29265 41045\n",
      "Time, predicted, expected \n",
      " 228 33902 52461\n",
      "Time, predicted, expected \n",
      " 231 41785 46252\n",
      "Time, predicted, expected \n",
      " 234 42113 58242\n",
      "Time, predicted, expected \n",
      " 237 52658 10176\n",
      "Time, predicted, expected \n",
      " 240 25905 22349\n",
      "Time, predicted, expected \n",
      " 243 30122 13912\n",
      "Time, predicted, expected \n",
      " 246 22049 23091\n",
      "Time, predicted, expected \n",
      " 249 24322 50146\n",
      "Time, predicted, expected \n",
      " 252 37040 38168\n",
      "Time, predicted, expected \n",
      " 255 33850 64517\n",
      "Time, predicted, expected \n",
      " 258 51241 54856\n",
      "Time, predicted, expected \n",
      " 261 50505 29958\n",
      "Time, predicted, expected \n",
      " 264 38743 26832\n",
      "Time, predicted, expected \n",
      " 267 34849 5569\n",
      "Time, predicted, expected \n",
      " 270 20957 26719\n",
      "Time, predicted, expected \n",
      " 273 27752 9405\n",
      "Time, predicted, expected \n",
      " 276 14550 24297\n",
      "Time, predicted, expected \n",
      " 279 21430 41404\n",
      "Time, predicted, expected \n",
      " 282 31441 28757\n",
      "Time, predicted, expected \n",
      " 285 27436 16047\n",
      "Time, predicted, expected \n",
      " 288 20014 62489\n",
      "Time, predicted, expected \n",
      " 291 48543 58318\n",
      "Time, predicted, expected \n",
      " 294 49860 28864\n",
      "Time, predicted, expected \n",
      " 297 33879 37374\n",
      "Time, predicted, expected \n",
      " 300 38996 12757\n",
      "Time, predicted, expected \n",
      " 303 26358 31646\n",
      "Time, predicted, expected \n",
      " 306 32718 66641\n",
      "Time, predicted, expected \n",
      " 309 51048 126806\n",
      "Time, predicted, expected \n",
      " 312 90925 35567\n",
      "Time, predicted, expected \n",
      " 315 45125 11270\n",
      "Time, predicted, expected \n",
      " 318 32828 15361\n",
      "Time, predicted, expected \n",
      " 321 33245 30186\n",
      "Time, predicted, expected \n",
      " 324 37012 17548\n",
      "Time, predicted, expected \n",
      " 327 19767 20571\n",
      "Time, predicted, expected \n",
      " 330 19779 26154\n",
      "Time, predicted, expected \n",
      " 333 24059 18873\n",
      "Time, predicted, expected \n",
      " 336 20769 918\n",
      "Time, predicted, expected \n",
      " 339 8865 773\n",
      "Time, predicted, expected \n",
      " 342 7115 1789\n",
      "Time, predicted, expected \n",
      " 345 5745 16304\n",
      "Time, predicted, expected \n",
      " 348 12017 40339\n",
      "Time, predicted, expected \n",
      " 351 26181 28245\n",
      "Time, predicted, expected \n",
      " 354 22867 60707\n",
      "Time, predicted, expected \n",
      " 357 45091 22611\n",
      "Time, predicted, expected \n",
      " 360 28126 30905\n",
      "Time, predicted, expected \n",
      " 363 33733 18323\n",
      "Time, predicted, expected \n",
      " 366 25240 142154\n",
      "Time, predicted, expected \n",
      " 369 98547 873\n",
      "Time, predicted, expected \n",
      " 372 21923 1846\n",
      "Time, predicted, expected \n",
      " 375 20333 12247\n",
      "Time, predicted, expected \n",
      " 378 23667 94325\n",
      "Time, predicted, expected \n",
      " 381 72307 72507\n",
      "Time, predicted, expected \n",
      " 384 54433 3943\n",
      "Time, predicted, expected \n",
      " 387 20458 6292\n",
      "Time, predicted, expected \n",
      " 390 22077 23554\n",
      "Time, predicted, expected \n",
      " 393 31839 46424\n",
      "Time, predicted, expected \n",
      " 396 38484 30066\n",
      "Time, predicted, expected \n",
      " 399 26060 10397\n",
      "Time, predicted, expected \n",
      " 402 16871 11868\n",
      "Time, predicted, expected \n",
      " 405 18164 64454\n",
      "Time, predicted, expected \n",
      " 408 48547 18594\n",
      "Time, predicted, expected \n",
      " 411 22834 2969\n",
      "Time, predicted, expected \n",
      " 414 12312 12733\n",
      "Time, predicted, expected \n",
      " 417 17428 92343\n",
      "Time, predicted, expected \n",
      " 420 65280 51790\n",
      "Time, predicted, expected \n",
      " 423 43737 30244\n",
      "Time, predicted, expected \n",
      " 426 34129 28365\n",
      "Time, predicted, expected \n",
      " 429 35730 38503\n",
      "Time, predicted, expected \n",
      " 432 43376 10776\n",
      "Time, predicted, expected \n",
      " 435 21355 57886\n",
      "Time, predicted, expected \n",
      " 438 45520 24907\n",
      "Time, predicted, expected \n",
      " 441 28497 40031\n",
      "Time, predicted, expected \n",
      " 444 37225 16433\n",
      "Time, predicted, expected \n",
      " 447 23219 19428\n",
      "Time, predicted, expected \n",
      " 450 25582 45368\n",
      "Time, predicted, expected \n",
      " 453 37300 29980\n",
      "Time, predicted, expected \n",
      " 456 30114 12016\n",
      "Time, predicted, expected \n",
      " 459 18330 15990\n",
      "Time, predicted, expected \n",
      " 462 20273 12670\n",
      "Time, predicted, expected \n",
      " 465 17937 22035\n",
      "Time, predicted, expected \n",
      " 468 20286 28741\n",
      "Time, predicted, expected \n",
      " 471 23515 35414\n",
      "Time, predicted, expected \n",
      " 474 29192 10341\n",
      "Time, predicted, expected \n",
      " 477 16090 28750\n",
      "Time, predicted, expected \n",
      " 480 26903 17004\n",
      "Time, predicted, expected \n",
      " 483 20527 57959\n",
      "Time, predicted, expected \n",
      " 486 43926 58835\n",
      "Time, predicted, expected \n",
      " 489 46706 15115\n",
      "Time, predicted, expected \n",
      " 492 25323 18\n",
      "Time, predicted, expected \n",
      " 495 14902 10754\n",
      "Time, predicted, expected \n",
      " 498 19645 9446\n",
      "Time, predicted, expected \n",
      " 501 14139 21531\n",
      "Time, predicted, expected \n",
      " 504 16451 22431\n",
      "Time, predicted, expected \n",
      " 507 17633 14152\n",
      "Time, predicted, expected \n",
      " 510 14907 35097\n",
      "Time, predicted, expected \n",
      " 513 27814 39840\n",
      "Time, predicted, expected \n",
      " 516 33225 8054\n",
      "Time, predicted, expected \n",
      " 519 15984 14702\n",
      "Time, predicted, expected \n",
      " 522 18535 10337\n",
      "Time, predicted, expected \n",
      " 525 15971 6328\n",
      "Time, predicted, expected \n",
      " 528 11090 52727\n",
      "Time, predicted, expected \n",
      " 531 35578 31366\n",
      "Time, predicted, expected \n",
      " 534 27229 35574\n",
      "Time, predicted, expected \n",
      " 537 31420 15513\n",
      "Time, predicted, expected \n",
      " 540 21907 91827\n",
      "Time, predicted, expected \n",
      " 543 68614 12130\n",
      "Time, predicted, expected \n",
      " 546 24706 42528\n",
      "Time, predicted, expected \n",
      " 549 41021 2308\n",
      "Time, predicted, expected \n",
      " 552 17584 26047\n",
      "Time, predicted, expected \n",
      " 555 30507 2794\n",
      "Time, predicted, expected \n",
      " 558 9977 6917\n",
      "Time, predicted, expected \n",
      " 561 11517 19870\n",
      "Time, predicted, expected \n",
      " 564 15728 8506\n",
      "Time, predicted, expected \n",
      " 567 10666 23612\n",
      "Time, predicted, expected \n",
      " 570 17975 39105\n",
      "Time, predicted, expected \n",
      " 573 29353 30508\n",
      "Time, predicted, expected \n",
      " 576 27414 6647\n",
      "Time, predicted, expected \n",
      " 579 14161 3853\n",
      "Time, predicted, expected \n",
      " 582 12299 33155\n",
      "Time, predicted, expected \n",
      " 585 27904 12295\n",
      "Time, predicted, expected \n",
      " 588 14793 15017\n",
      "Time, predicted, expected \n",
      " 591 14605 12407\n",
      "Time, predicted, expected \n",
      " 594 13876 26772\n",
      "Time, predicted, expected \n",
      " 597 23350 13421\n",
      "Time, predicted, expected \n",
      " 600 14701 27933\n",
      "Time, predicted, expected \n",
      " 603 23521 24248\n",
      "Time, predicted, expected \n",
      " 606 22602 9403\n",
      "Time, predicted, expected \n",
      " 609 14879 27316\n",
      "Time, predicted, expected \n",
      " 612 23890 26894\n",
      "Time, predicted, expected \n",
      " 615 25026 17455\n",
      "Time, predicted, expected \n",
      " 618 19259 55126\n",
      "Time, predicted, expected \n",
      " 621 41182 4087\n",
      "Time, predicted, expected \n",
      " 624 15131 24162\n",
      "Time, predicted, expected \n",
      " 627 24853 10927\n",
      "Time, predicted, expected \n",
      " 630 16639 44160\n",
      "Time, predicted, expected \n",
      " 633 35926 52160\n",
      "Time, predicted, expected \n",
      " 636 39629 9281\n",
      "Time, predicted, expected \n",
      " 639 18709 21783\n",
      "Time, predicted, expected \n",
      " 642 24722 25457\n",
      "Time, predicted, expected \n",
      " 645 28012 26051\n",
      "Time, predicted, expected \n",
      " 648 26498 25283\n",
      "Time, predicted, expected \n",
      " 651 23427 14035\n",
      "Time, predicted, expected \n",
      " 654 18278 15388\n",
      "Time, predicted, expected \n",
      " 657 18315 18667\n",
      "Time, predicted, expected \n",
      " 660 19275 17179\n",
      "Time, predicted, expected \n",
      " 663 17644 36142\n",
      "Time, predicted, expected \n",
      " 666 28212 21670\n",
      "Time, predicted, expected \n",
      " 669 21739 30017\n",
      "Time, predicted, expected \n",
      " 672 27376 50175\n",
      "Time, predicted, expected \n",
      " 675 40605 32833\n",
      "Time, predicted, expected \n",
      " 678 33500 3486\n",
      "Time, predicted, expected \n",
      " 681 15561 23640\n",
      "Time, predicted, expected \n",
      " 684 25835 15839\n",
      "Time, predicted, expected \n",
      " 687 20516 30368\n",
      "Time, predicted, expected \n",
      " 690 25800 15484\n",
      "Time, predicted, expected \n",
      " 693 16623 29322\n",
      "Time, predicted, expected \n",
      " 696 26126 33343\n",
      "Time, predicted, expected \n",
      " 699 29107 21100\n",
      "Time, predicted, expected \n",
      " 702 23511 55211\n",
      "Time, predicted, expected \n",
      " 705 43051 53157\n",
      "Time, predicted, expected \n",
      " 708 45791 64017\n",
      "Time, predicted, expected \n",
      " 711 54691 52712\n",
      "Time, predicted, expected \n",
      " 714 50975 53887\n",
      "Time, predicted, expected \n",
      " 717 54841 51242\n",
      "Time, predicted, expected \n",
      " 720 53122 53711\n",
      "Time, predicted, expected \n",
      " 723 54412 24971\n",
      "Time, predicted, expected \n",
      " 726 36137 75941\n",
      "Time, predicted, expected \n",
      " 729 63945 20287\n",
      "Time, predicted, expected \n",
      " 732 32758 53960\n",
      "Time, predicted, expected \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 735 49867 42561\n",
      "Time, predicted, expected \n",
      " 738 43052 42928\n",
      "Time, predicted, expected \n",
      " 741 45031 91973\n",
      "Time, predicted, expected \n",
      " 744 71157 36017\n",
      "Time, predicted, expected \n",
      " 747 44752 72362\n",
      "Time, predicted, expected \n",
      " 750 64765 19660\n",
      "Time, predicted, expected \n",
      " 753 36124 35256\n",
      "Time, predicted, expected \n",
      " 756 43154 24156\n",
      "Time, predicted, expected \n",
      " 759 30823 57451\n",
      "Time, predicted, expected \n",
      " 762 49614 38270\n",
      "Time, predicted, expected \n",
      " 765 36614 11117\n",
      "Time, predicted, expected \n",
      " 768 22183 64903\n",
      "Time, predicted, expected \n",
      " 771 52041 60965\n",
      "Time, predicted, expected \n",
      " 774 53753 66251\n",
      "Time, predicted, expected \n",
      " 777 57276 27533\n",
      "Time, predicted, expected \n",
      " 780 36843 45872\n",
      "Time, predicted, expected \n",
      " 783 49488 47244\n",
      "Time, predicted, expected \n",
      " 786 48408 27305\n",
      "Time, predicted, expected \n",
      " 789 35073 40015\n",
      "Time, predicted, expected \n",
      " 792 38804 35776\n",
      "Time, predicted, expected \n",
      " 795 37509 39418\n",
      "Time, predicted, expected \n",
      " 798 38684 104912\n",
      "Time, predicted, expected \n",
      " 801 77198 73958\n",
      "Time, predicted, expected \n",
      " 804 66386 43559\n",
      "Time, predicted, expected \n",
      " 807 51541 32867\n",
      "Time, predicted, expected \n",
      " 810 45904 50236\n",
      "Time, predicted, expected \n",
      " 813 55671 27735\n",
      "Time, predicted, expected \n",
      " 816 36703 48646\n",
      "Time, predicted, expected \n",
      " 819 44627 17227\n",
      "Time, predicted, expected \n",
      " 822 26284 75695\n",
      "Time, predicted, expected \n",
      " 825 59801 89404\n",
      "Time, predicted, expected \n",
      " 828 70572 14633\n",
      "Time, predicted, expected \n",
      " 831 31876 259887\n",
      "Time, predicted, expected \n",
      " 834 175628 125832\n",
      "Time, predicted, expected \n",
      " 837 119461 66533\n",
      "Time, predicted, expected \n",
      " 840 88895 35993\n",
      "Time, predicted, expected \n",
      " 843 68284 49375\n",
      "Time, predicted, expected \n",
      " 846 78449 101400\n",
      "Time, predicted, expected \n",
      " 849 88613 60457\n",
      "Time, predicted, expected \n",
      " 852 61604 45092\n",
      "Time, predicted, expected \n",
      " 855 51777 65475\n",
      "Time, predicted, expected \n",
      " 858 64917 64705\n",
      "Time, predicted, expected \n",
      " 861 66065 74241\n",
      "Time, predicted, expected \n",
      " 864 68117 71728\n",
      "Time, predicted, expected \n",
      " 867 67988 78135\n",
      "Time, predicted, expected \n",
      " 870 74495 38759\n",
      "Time, predicted, expected \n",
      " 873 52136 73167\n",
      "Time, predicted, expected \n",
      " 876 70186 17094\n",
      "Time, predicted, expected \n",
      " 879 36435 367838\n",
      "Time, predicted, expected \n",
      " 882 241418 23384\n",
      "Time, predicted, expected \n",
      " 885 63716 66751\n",
      "Time, predicted, expected \n",
      " 888 88198 29636\n",
      "Time, predicted, expected \n",
      " 891 65288 70221\n",
      "Time, predicted, expected \n",
      " 894 90893 225655\n",
      "Time, predicted, expected \n",
      " 897 154392 66359\n",
      "Time, predicted, expected \n",
      " 900 79041 63774\n",
      "Time, predicted, expected \n",
      " 903 77451 49842\n",
      "Time, predicted, expected \n",
      " 906 72506 17935\n",
      "Time, predicted, expected \n",
      " 909 51324 36447\n",
      "Time, predicted, expected \n",
      " 912 41659 31877\n",
      "Time, predicted, expected \n",
      " 915 35926 30346\n",
      "Time, predicted, expected \n",
      " 918 31817 57782\n",
      "Time, predicted, expected \n",
      " 921 46329 18041\n",
      "Time, predicted, expected \n",
      " 924 26469 17381\n",
      "Time, predicted, expected \n",
      " 927 24233 29285\n",
      "Time, predicted, expected \n",
      " 930 29926 22680\n",
      "Time, predicted, expected \n",
      " 933 25856 46370\n",
      "Time, predicted, expected \n",
      " 936 36560 39218\n",
      "Time, predicted, expected \n",
      " 939 35102 52644\n",
      "Time, predicted, expected \n",
      " 942 45341 61374\n",
      "Time, predicted, expected \n",
      " 945 52915 49980\n",
      "Time, predicted, expected \n",
      " 948 49948 52809\n",
      "Time, predicted, expected \n",
      " 951 52007 10444\n",
      "Time, predicted, expected \n",
      " 954 27947 24337\n",
      "Time, predicted, expected \n",
      " 957 32062 24861\n",
      "Time, predicted, expected \n",
      " 960 28673 6261\n",
      "Time, predicted, expected \n",
      " 963 15001 14938\n",
      "Time, predicted, expected \n",
      " 966 15553 2901\n",
      "Time, predicted, expected \n",
      " 969 8780 13373\n",
      "Time, predicted, expected \n",
      " 972 12919 6773\n",
      "Time, predicted, expected \n",
      " 975 7811 22049\n",
      "Time, predicted, expected \n",
      " 978 17027 8940\n",
      "Time, predicted, expected \n",
      " 981 9873 33748\n",
      "Time, predicted, expected \n",
      " 984 25362 18144\n",
      "Time, predicted, expected \n",
      " 987 18037 15930\n",
      "Time, predicted, expected \n",
      " 990 17846 22801\n",
      "Time, predicted, expected \n",
      " 993 21356 31749\n",
      "Time, predicted, expected \n",
      " 996 28111 7179\n",
      "Time, predicted, expected \n",
      " 999 13169 16547\n",
      "Time, predicted, expected \n",
      " 1002 17694 15646\n",
      "Time, predicted, expected \n",
      " 1005 17215 4204\n",
      "Time, predicted, expected \n",
      " 1008 9634 7557\n",
      "Time, predicted, expected \n",
      " 1011 8891 10224\n",
      "Time, predicted, expected \n",
      " 1014 10529 124\n",
      "Time, predicted, expected \n",
      " 1017 3837 1\n",
      "RMSE Value=  35745.17496476643\n",
      "MAPE Value=  1733.9274967739589\n",
      "Computational Time= 0.27754479563177625\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Computational Time\n",
    "import time\n",
    "time_start = time.clock()\n",
    "\n",
    "#Code\n",
    "a1=0.1\n",
    "a2=0.1\n",
    "a3=0.1\n",
    "a4=0.1\n",
    "a5=0.6\n",
    "\n",
    "X = df2.no_of_instances\n",
    "Begin=5\n",
    "predictions=list()\n",
    "times=list()\n",
    "SE=0\n",
    "sumAPE=0\n",
    "#sumMASE=0\n",
    "#test=[X[i] for i in range(Begin,len(X)]\n",
    "for i in range (Begin,len(X)):\n",
    "    Ft=np.int(a1*df2.no_of_instances[i-5]+a2*df2.no_of_instances[i-4]+a3*df2.no_of_instances[i-3]+a4*df2.no_of_instances[i-2]+a5*df2.no_of_instances[i-1])\n",
    "    predictions.append(Ft)\n",
    "    Ft_prev=Ft\n",
    "    times.append(df2.time_interval[i])\n",
    "    print('Time, predicted, expected \\n',df2.time_interval[i], Ft, df2.no_of_instances[i])\n",
    "    e=abs(Ft-df2.no_of_instances[i])\n",
    "    SE=SE+e*e\n",
    "    APE=abs((Ft-df2.no_of_instances[i])/df2.no_of_instances[i])\n",
    "    sumAPE=sumAPE+APE\n",
    "    #ASE=abs((yhat-obs)/(test[t]-df2.no_of_instances[t-1]))\n",
    "    #sumMASE=sumMASE+ASE\n",
    "RMSE=math.sqrt(SE/len(X)-Begin)\n",
    "MAPE=(sumAPE/(len(X)-Begin))*100\n",
    "#MASE=(sumMASE/(len(X)))\n",
    "print('RMSE Value= ', RMSE)\n",
    "print('MAPE Value= ', MAPE)\n",
    "#print('MASE Value= ', MASE)\n",
    "    \n",
    "#print('Time= \\n', times)\n",
    "#print('Predictions= \\n', predictions)\n",
    "\n",
    "#Computational Time\n",
    "time_elapsed = (time.clock() - time_start)\n",
    "print('Computational Time=', time_elapsed)\n",
    "\n",
    "# plot\n",
    "fig=plt.figure(figsize=(12,8))\n",
    "plt.title(\"Predicted vs Expected- - Weighted Moving Average\")\n",
    "plt.xlabel(\"Time interval\")\n",
    "plt.ylabel(\"Number of instances\")\n",
    "plt.plot(times, predictions, color='red', label='Predicted', linestyle='dashed')\n",
    "plt.plot(df2.time_interval, df2.no_of_instances, color='blue', label='Original', linestyle='solid')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}