model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark.context import SparkContext\n",
    "from pyspark.sql.session import SparkSession\n",
    "from pyspark.mllib.tree import DecisionTree, DecisionTreeModel\n",
    "from pyspark.mllib.util import MLUtils\n",
    "import pandas as pd\n",
    "from pyspark.mllib.linalg import SparseVector\n",
    "from pyspark.mllib.regression import LabeledPoint\n",
    "\n",
    "sc = SparkContext('local[*]')\n",
    "spark = SparkSession(sc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = pd.read_csv(\"join.csv\")\n",
    "x = x.drop([\"Batsman\",\"Bowler\",\"NonStriker\"],axis=1)\n",
    "x['Target']=x['TotalRuns']\n",
    "x = x.drop(\"TotalRuns\",axis=1)\n",
    "x = x.drop(\"TotalWickets\",axis=1)\n",
    "export_csv = x.to_csv(\"no_char_join_runs.csv\",index=None,header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = pd.read_csv(\"join.csv\")\n",
    "x = x.drop([\"Batsman\",\"Bowler\",\"NonStriker\"],axis=1)\n",
    "x['Target']=x['TotalWickets']\n",
    "x = x.drop(\"TotalWickets\",axis=1)\n",
    "x = x.drop(\"TotalRuns\",axis=1)\n",
    "export_csv = x.to_csv(\"no_char_join_wickets.csv\",index=None,header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = pd.read_csv(\"ballbyball.csv\")\n",
    "y = y.drop([\"Batsman\",\"Bowler\"],axis=1)\n",
    "y.loc[y['Runs']==-1,'Runs']='0'\n",
    "y['Target']=y['Runs']\n",
    "y = y.drop(\"Runs\",axis=1)\n",
    "y = y.dropna(axis=0,how='any')\n",
    "export_csv = y.to_csv(\"final_ball_0.csv\",index=None,header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[LabeledPoint(0.0, [26.41958042,131.63763070000002,0.043554007,0.131358885,33.1125,7.8026509572900995,25.4625,0.79207920792079,0.0]),\n",
       " LabeledPoint(2.0, [26.41958042,131.63763070000002,0.043554007,0.131358885,33.1125,7.8026509572900995,25.4625,0.79207920792079,2.0])]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = spark.read.format(\"csv\").load(\"final_ball_0.csv\")\n",
    "data = data.rdd\n",
    "#finalData = data.map(lambda row: [float(row[0]),float(row[1]),float(row[2]),float(row[3]),float(row[4]),float(row[5]),float(row[6]),float(row[7]),int(row[8])])\n",
    "finalDataRuns = data.map(lambda seq: LabeledPoint(seq[-1],seq[0:13]))\n",
    "finalDataRuns.take(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[LabeledPoint(11.0, [0.0,26.41958042,131.63763070000002,0.043554007,0.131358885,33.1125,7.8026509572900995,25.4625,0.79207920792079,25.046875,130.4312449,0.048006509,0.138323841]),\n",
       " LabeledPoint(0.0, [0.0,26.41958042,131.63763070000002,0.043554007,0.131358885,33.1125,7.8026509572900995,25.4625,0.79207920792079,25.046875,130.4312449,0.048006509,0.138323841])]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = spark.read.format(\"csv\").load(\"no_char_join_runs.csv\")\n",
    "data = data.rdd\n",
    "#finalData = data.map(lambda row: [float(row[0]),float(row[1]),float(row[2]),float(row[3]),float(row[4]),float(row[5]),float(row[6]),float(row[7]),int(row[8])])\n",
    "finalDataRuns = data.map(lambda seq: LabeledPoint(seq[-1],seq[0:13]))\n",
    "finalDataRuns.take(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[LabeledPoint(0.0, [0.0,26.41958042,131.63763070000002,0.043554007,0.131358885,33.1125,7.8026509572900995,25.4625,0.79207920792079,25.046875,130.4312449,0.048006509,0.138323841]),\n",
       " LabeledPoint(0.0, [0.0,26.41958042,131.63763070000002,0.043554007,0.131358885,33.1125,7.8026509572900995,25.4625,0.79207920792079,25.046875,130.4312449,0.048006509,0.138323841])]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = spark.read.format(\"csv\").load(\"no_char_join_wickets.csv\")\n",
    "data = data.rdd\n",
    "#finalData = data.map(lambda row: [float(row[0]),float(row[1]),float(row[2]),float(row[3]),float(row[4]),float(row[5]),float(row[6]),float(row[7]),int(row[8])])\n",
    "finalDataWickets = data.map(lambda seq: LabeledPoint(seq[-1],seq[0:13]))\n",
    "finalDataWickets.take(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "(trainingDataW, testDataW) = finalDataWickets.randomSplit([0.7, 0.3])\n",
    "(trainingDataR, testDataR) = finalDataRuns.randomSplit([0.7, 0.3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ball by ball\n",
    "modelR = DecisionTree.trainRegressor(trainingDataR, categoricalFeaturesInfo={},impurity='variance', maxDepth=5, maxBins=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 862,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  19.878770871334364\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  19.850989196015153\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.38342261065689315\n",
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      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.45672399210600506\n",
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      "Error in Wickets:  0.47039751903016636\n",
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      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5749929517902452\n",
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      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.6024809698336623\n",
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      "Error in Wickets:  0.604595432760079\n",
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      "Error in Wickets:  0.6044544685649845\n",
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      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  20.15209765679809\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.45672399210600506\n",
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      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.482943332393572\n",
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      "Error in Wickets:  0.50380603326755\n",
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      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.5645616013532563\n",
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      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  21.290865721902623\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.47039751903016636\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  22.05121369440157\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  23.2150975164866\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  24.451241756699872\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  25.80917637154483\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.5947279391034678\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  27.061737056264906\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  29.130489687105374\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  31.118422898835416\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  32.57850427950049\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  34.37098358355549\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.38342261065689315\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  35.38501473270661\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  36.38136663392732\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  37.224077451943316\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  38.012628034236\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5499013250634339\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  38.497965483373086\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  38.96814929142697\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.26953837519293\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.39862494738319\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.6058641105159289\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  39.5119966325242\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5899351564702565\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.5947279391034678\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.59923879334649\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.6024809698336623\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.604595432760079\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.6044544685649845\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.6058641105159289\n",
      "Error in Runs:  39.56180721201066\n",
      "Error in Wickets:  0.6067098956864956\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.3749647589512264\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.37665632929235976\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.38342261065689315\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.40062024245841554\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.4041443473357767\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.422892585283338\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.4430504651818438\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.45672399210600506\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.47039751903016636\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.482943332393572\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.50380603326755\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5174795601917113\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5331265858471949\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5499013250634339\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5645616013532563\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5749929517902452\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5816182689596843\n",
      "Error in Runs:  39.6842991440999\n",
      "Error in Wickets:  0.5899351564702565\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-862-711088e863d4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     15\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m31\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m         \u001b[0mmodelR\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDecisionTree\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainRegressor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainingDataR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcategoricalFeaturesInfo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mimpurity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'variance'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaxDepth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaxBins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 17\u001b[0;31m         \u001b[0mmodelW\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDecisionTree\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainRegressor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainingDataW\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcategoricalFeaturesInfo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mimpurity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'variance'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaxDepth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaxBins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     18\u001b[0m         \u001b[0mpredictionsR\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodelR\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtestDataR\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfeatures\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m         \u001b[0mpredictionsR\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpredictionsR\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/spark/python/pyspark/mllib/tree.py\u001b[0m in \u001b[0;36mtrainRegressor\u001b[0;34m(cls, data, categoricalFeaturesInfo, impurity, maxDepth, maxBins, minInstancesPerNode, minInfoGain)\u001b[0m\n\u001b[1;32m    274\u001b[0m         \"\"\"\n\u001b[1;32m    275\u001b[0m         return cls._train(data, \"regression\", 0, categoricalFeaturesInfo,\n\u001b[0;32m--> 276\u001b[0;31m                           impurity, maxDepth, maxBins, minInstancesPerNode, minInfoGain)\n\u001b[0m\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/spark/python/pyspark/mllib/tree.py\u001b[0m in \u001b[0;36m_train\u001b[0;34m(cls, data, type, numClasses, features, impurity, maxDepth, maxBins, minInstancesPerNode, minInfoGain)\u001b[0m\n\u001b[1;32m    141\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLabeledPoint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"the data should be RDD of LabeledPoint\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m         model = callMLlibFunc(\"trainDecisionTreeModel\", data, type, numClasses, features,\n\u001b[0;32m--> 143\u001b[0;31m                               impurity, maxDepth, maxBins, minInstancesPerNode, minInfoGain)\n\u001b[0m\u001b[1;32m    144\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mDecisionTreeModel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/spark/python/pyspark/mllib/common.py\u001b[0m in \u001b[0;36mcallMLlibFunc\u001b[0;34m(name, *args)\u001b[0m\n\u001b[1;32m    128\u001b[0m     \u001b[0msc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSparkContext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetOrCreate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0mapi\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jvm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPythonMLLibAPI\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mcallJavaFunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mapi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/spark/python/pyspark/mllib/common.py\u001b[0m in \u001b[0;36mcallJavaFunc\u001b[0;34m(sc, func, *args)\u001b[0m\n\u001b[1;32m    121\u001b[0m     \u001b[0;34m\"\"\" Call Java Function \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m     \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0m_py2java\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 123\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_java2py\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m   1253\u001b[0m             \u001b[0mproto\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEND_COMMAND_PART\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1254\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1255\u001b[0;31m         \u001b[0manswer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgateway_client\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1256\u001b[0m         return_value = get_return_value(\n\u001b[1;32m   1257\u001b[0m             answer, self.gateway_client, self.target_id, self.name)\n",
      "\u001b[0;32m/opt/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36msend_command\u001b[0;34m(self, command, retry, binary)\u001b[0m\n\u001b[1;32m    983\u001b[0m         \u001b[0mconnection\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_connection\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    984\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 985\u001b[0;31m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconnection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend_command\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcommand\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    986\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mbinary\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    987\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_create_connection_guard\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconnection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py\u001b[0m in \u001b[0;36msend_command\u001b[0;34m(self, command)\u001b[0m\n\u001b[1;32m   1150\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1151\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1152\u001b[0;31m             \u001b[0manswer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msmart_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1153\u001b[0m             \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Answer received: {0}\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0manswer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1154\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0manswer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstartswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mproto\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRETURN_MESSAGE\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/aishwarya/anaconda/lib/python3.6/socket.py\u001b[0m in \u001b[0;36mreadinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    584\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    585\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 586\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    587\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    588\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_timeout_occurred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# over by over\n",
    "# 16 and 35 gives 5/9\n",
    "# 30 and 50 average\n",
    "# 10 and 20 gives 5/8 pretty good\n",
    "# 10 and 25 gives 5/8 pretty good\n",
    "# 22 and 38 more right results but fewer closer scores 6/8\n",
    "# 17 and 38 not that great\n",
    "# 8 and 20 gives 3 2 3\n",
    "# 11 and 32 gives 3 3 2\n",
    "# 14 and 32 is better than 11 and 32\n",
    "final_i =0\n",
    "final_j=0\n",
    "minE=100\n",
    "for i in range(5,31):\n",
    "    for j in range(5,31):\n",
    "        modelR = DecisionTree.trainRegressor(trainingDataR, categoricalFeaturesInfo={},impurity='variance', maxDepth=i, maxBins=32)\n",
    "        modelW = DecisionTree.trainRegressor(trainingDataW,categoricalFeaturesInfo={},impurity='variance', maxDepth=j, maxBins=32)\n",
    "        predictionsR = modelR.predict(testDataR.map(lambda x: x.features))\n",
    "        predictionsR = predictionsR.collect()\n",
    "        predictionsR = [round(x) for x in predictionsR]\n",
    "#         print(\"Runs: \",sum(predictionsR))\n",
    "\n",
    "        predictionsW = modelW.predict(testDataW.map(lambda x: x.features))\n",
    "        predictionsW = predictionsW.collect()\n",
    "        predictionsW = [round(x) for x in predictionsW]\n",
    "#         print(\"Wickets: \",sum(predictionsW))\n",
    "        c=0.0\n",
    "        for i1 in range(len(runs)):\n",
    "            c+=(runs[i1]-predictionsR[i1])**2\n",
    "        testerr1 = c/len(runs)\n",
    "        print(\"Error in Runs: \",testerr1)\n",
    "        c=0.0\n",
    "        for i1 in range(len(wickets)):\n",
    "            c+=(wickets[i1]-predictionsW[i1])**2\n",
    "        testerr2 = c/len(wickets)\n",
    "        print(\"Error in Wickets: \",testerr2)\n",
    "        if(testerr1+testerr2<minE):\n",
    "            minE=testerr1+testerr2\n",
    "            final_i=i\n",
    "            final_j=j"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_i =16\n",
    "final_j=44\n",
    "minE=19.77496722576557\n",
    "for i in range(16,50):\n",
    "    ctr=0\n",
    "    modelR = DecisionTree.trainRegressor(trainingDataR, categoricalFeaturesInfo={},impurity='variance', maxDepth=5, maxBins=i)\n",
    "    for j in range(5,50):\n",
    "        modelW = DecisionTree.trainRegressor(trainingDataW,categoricalFeaturesInfo={},impurity='variance', maxDepth=5, maxBins=j)\n",
    "        predictionsR = modelR.predict(testDataR.map(lambda x: x.features))\n",
    "        predictionsR = predictionsR.collect()\n",
    "        predictionsR = [round(x) for x in predictionsR]\n",
    "#         print(\"Runs: \",sum(predictionsR))\n",
    "\n",
    "        predictionsW = modelW.predict(testDataW.map(lambda x: x.features))\n",
    "        predictionsW = predictionsW.collect()\n",
    "        predictionsW = [round(x) for x in predictionsW]\n",
    "#         print(\"Wickets: \",sum(predictionsW))\n",
    "        runs = testDataR.map(lambda x: x.label)\n",
    "        runs = runs.collect()\n",
    "        #print(\"Runs: \",sum(runs))\n",
    "\n",
    "        wickets = testDataW.map(lambda x: x.label)\n",
    "        wickets = wickets.collect()\n",
    "        #print(\"Wickets: \",sum(wickets))\n",
    "        ctr=ctr+1\n",
    "        if(ctr==1):\n",
    "            c=0.0\n",
    "            for i1 in range(len(runs)):\n",
    "                c+=(runs[i1]-predictionsR[i1])**2\n",
    "            testerr1 = c/len(runs)\n",
    "            print(\"Error in Runs: \",testerr1)\n",
    "        c=0.0\n",
    "        for i1 in range(len(wickets)):\n",
    "            c+=(wickets[i1]-predictionsW[i1])**2\n",
    "        testerr2 = c/len(wickets)\n",
    "        print(\"Error in Wickets: \",testerr2,\"  \",j)\n",
    "        if(testerr1+testerr2<minE):\n",
    "            minE=testerr1+testerr2\n",
    "            final_i=i\n",
    "            final_j=j"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "modelR = DecisionTree.trainRegressor(trainingDataR, categoricalFeaturesInfo={},impurity='variance', maxDepth=5, maxBins=32)\n",
    "modelW = DecisionTree.trainRegressor(trainingDataW,categoricalFeaturesInfo={},impurity='variance', maxDepth=22, maxBins=52)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Runs:  55212\n",
      "Wickets:  2014\n"
     ]
    }
   ],
   "source": [
    "predictionsR = modelR.predict(testDataR.map(lambda x: x.features))\n",
    "predictionsR = predictionsR.collect()\n",
    "predictionsR = [round(x) for x in predictionsR]\n",
    "print(\"Runs: \",sum(predictionsR))\n",
    "\n",
    "predictionsW = modelW.predict(testDataW.map(lambda x: x.features))\n",
    "predictionsW = predictionsW.collect()\n",
    "predictionsW = [round(x) for x in predictionsW]\n",
    "print(\"Wickets: \",sum(predictionsW))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Runs:  54949.0\n",
      "Wickets:  2222.0\n"
     ]
    }
   ],
   "source": [
    "runs = testDataR.map(lambda x: x.label)\n",
    "runs = runs.collect()\n",
    "print(\"Runs: \",sum(runs))\n",
    "\n",
    "wickets = testDataW.map(lambda x: x.label)\n",
    "wickets = wickets.collect()\n",
    "print(\"Wickets: \",sum(wickets))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in Runs:  19.79107618913989\n",
      "Error in Wickets:  0.5590219224283305\n"
     ]
    }
   ],
   "source": [
    "c=0.0\n",
    "for i in range(len(runs)):\n",
    "    c+=(runs[i]-predictionsR[i])**2\n",
    "testerr = c/len(runs)\n",
    "print(\"Error in Runs: \",testerr)\n",
    "c=0.0\n",
    "for i in range(len(wickets)):\n",
    "    c+=(wickets[i]-predictionsW[i])**2\n",
    "testerr = c/len(wickets)\n",
    "print(\"Error in Wickets: \",testerr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "batting_stats = pd.read_csv(\"Batting_Cluster_Final.csv\")\n",
    "bowling_stats = pd.read_csv(\"Bowling_Cluster_Final.csv\")\n",
    "batting_stats.columns=[\"Player Name\",\"Average\",\"Strike Rate\",\"Bleh\",\"Sixes\",\"Fours\"]\n",
    "bowling_stats.columns = [\"Player Name\",\"Average\",\"Economy\",\"Strike Rate\",\"WicketsProb\"]\n",
    "batting_stats = batting_stats.drop(\"Bleh\",axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "bat_cluster = pd.read_csv(\"batting_cluster.csv\")\n",
    "bowl_cluster = pd.read_csv(\"bowling_cluster.csv\")\n",
    "bat_cluster.columns = [\"Name\",\"Cluster\"]\n",
    "bowl_cluster.columns = [\"Name\",\"Cluster\"]\n",
    "# x = bat_cluster[bat_cluster[\"Name\"]==\"CR Woakes\"]\n",
    "# print(x)\n",
    "def call_cluster(name,kind):\n",
    "    count = 0\n",
    "    total = {'Average':0,'Strike Rate':0,'Sixes':0,'Fours':0}\n",
    "    total1 = {'Average':0,'Economy':0,'Strike Rate':0,'WicketsProb':0}\n",
    "    if(kind==\"Batsman\"):\n",
    "        c_no = int(bat_cluster[bat_cluster[\"Name\"]==name][\"Cluster\"])\n",
    "        batsmen = bat_cluster[bat_cluster[\"Cluster\"]==c_no][\"Name\"]\n",
    "        batsmen = list(batsmen)\n",
    "        for i in batsmen:\n",
    "            bat = batting_stats[batting_stats[\"Player Name\"]==i]\n",
    "            if(sys.getsizeof(bat)>24):\n",
    "                count+=1\n",
    "                total['Average']=total['Average']+float(bat['Average'])\n",
    "                total[\"Strike Rate\"]+=float(bat[\"Strike Rate\"])\n",
    "                total[\"Sixes\"]+=float(bat[\"Sixes\"])\n",
    "                total[\"Fours\"]+=float(bat[\"Fours\"])\n",
    "        total[\"Average\"]/=count\n",
    "        total[\"Strike Rate\"]/=count\n",
    "        total[\"Sixes\"]/=count\n",
    "        total[\"Fours\"]/=count\n",
    "        return total\n",
    "    else:\n",
    "        c_no = int(bowl_cluster[bowl_cluster[\"Name\"]==name][\"Cluster\"])\n",
    "        bowlers = bowl_cluster[bowl_cluster[\"Cluster\"]==c_no][\"Name\"]\n",
    "        bowlers = list(bowlers)\n",
    "        for i in bowlers:\n",
    "            bowl = bowling_stats[bowling_stats[\"Player Name\"]==i]\n",
    "            if(sys.getsizeof(bowl)>24):\n",
    "                count+=1\n",
    "                total1['Average']=total1['Average']+float(bowl['Average'])\n",
    "                total1[\"Strike Rate\"]+=float(bowl[\"Strike Rate\"])\n",
    "                total1[\"Economy\"]+=float(bowl[\"Economy\"])\n",
    "                total1[\"WicketsProb\"]+=float(bowl[\"WicketsProb\"])\n",
    "        total1[\"Average\"]/=count\n",
    "        total1[\"Strike Rate\"]/=count\n",
    "        total1[\"Economy\"]/=count\n",
    "        total1[\"WicketsProb\"]/=count\n",
    "        return total1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Average': 27.99069108779549, 'Economy': 8.510502842938315, 'Strike Rate': 20.549508564043464, 'WicketsProb': 0.7132786799005538}\n"
     ]
    }
   ],
   "source": [
    "# Code to test the function\n",
    "import sys\n",
    "bowl = bowling_stats[bowling_stats[\"Player Name\"]==\"xi\"]\n",
    "if(sys.getsizeof(bowl)==24):\n",
    "    stats = call_cluster(\"A Kumble\",\"Bowler\")\n",
    "    print(stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#1.CSK vs MI 28 apr\n",
    "# team1_batting_order=[\"SR Watson\",\"AT Rayudu\",\"SK Raina\",\"SW Billings\",\"RA Jadeja\",\"MS Dhoni\",\"DJ Bravo\",\"Harbhajan Singh\",\"DL Chahar\",\"SN Thakur\",\"Imran Tahir\"]\n",
    "# team2_batting_order=[\"AS Yadav\",\"Evin Lewis\",\"Ishan Kishan\",\"RG Sharma\",\"JP Duminy\",\"KH Pandya\",\"HH Pandya\",\"BCJ Cutting\",\"MJ McClenaghan\",\"SL Malinga\",\"JJ Bumrah\"]\n",
    "# team1_bowling_order=[\"DL Chahar\",\"SN Thakur\",\"DL Chahar\",\"SR Watson\",\"DL Chahar\",\"SN Thakur\",\"SR Watson\",\"Harbhajan Singh\",\"Imran Tahir\",\"Harbhajan Singh\",\"Imran Tahir\",\"Harbhajan Singh\",\"DJ Bravo\",\"SR Watson\",\"DJ Bravo\",\"SN Thakur\",\"DJ Bravo\",\"SR Watson\",\"SN Thakur\",\"Imran Tahir\"]\n",
    "# team2_bowling_order=[\"MJ McClenaghan\",\"JJ Bumrah\",\"MJ McClenaghan\",\"HH Pandya\",\"KH Pandya\",\"HH Pandya\",\"KH Pandya\",\"SL Malinga\",\"BCJ Cutting\",\"SL Malinga\",\"MJ McClenaghan\",\"KH Pandya\",\"JJ Bumrah\",\"KH Pandya\",\"HH Pandya\",\"SL Malinga\",\"JJ Bumrah\",\"MJ McClenaghan\",\"JJ Bumrah\",\"HH Pandya\"]\n",
    "\n",
    "# MI vs DD 9\n",
    "# team1_batting_order=[\"AS Yadav\",\"Evin Lewis\",\"Ishan Kishan\",\"RG Sharma\",\"KA Pollard\",\"KH Pandya\",\"HH Pandya\",\"A Dananjaya\",\"Mayank Markande\",\"JJ Bumrah\",\"Mustafizur Rahman\"]\n",
    "# team2_batting_order=[\"JJ Roy\",\"G Gambhir\",\"RR Pant\",\"GJ Maxwell\",\"SS Iyer\",\"V Shankar\",\"DT Christian\",\"R Tewatia\",\"S Nadeem\",\"Mohammed Shami\",\"TA Boult\"]\n",
    "# team1_bowling_order=[\"HH Pandya\",\"A Dananjaya\",\"JJ Bumrah\",\"Mustafizur Rahman\",\"HH Pandya\",\"Mustafizur Rahman\",\"Mayank Markande\",\"A Dananjaya\",\"Mayank Markande\",\"A Dananjaya\",\"JJ Bumrah\",\"KH Pandya\",\"Mayank Markande\",\"KH Pandya\",\"A Dananjaya\",\"KH Pandya\",\"JJ Bumrah\",\"Mustafizur Rahman\",\"JJ Bumrah\",\"Mustafizur Rahman\"]\n",
    "# team2_bowling_order=[\"TA Boult\",\"S Nadeem\",\"TA Boult\",\"S Nadeem\",\"Mohammed Shami\",\"DT Christian\",\"R Tewatia\",\"GJ Maxwell\",\"R Tewatia\",\"GJ Maxwell\",\"R Tewatia\",\"GJ Maxwell\",\"R Tewatia\",\"DT Christian\",\"Mohammed Shami\",\"DT Christian\",\"Mohammed Shami\",\"TA Boult\",\"Mohammed Shami\",\"TA Boult\"]\n",
    "\n",
    "#RR vs KKR 49\n",
    "# team1_batting_order=[\"RA Tripathi\",\"JC Buttler\",\"AM Rahane\",\"SV Samson\",\"BA Stokes\",\"STR Binny\",\"Krishnappa Gowtham\",\"JD Unadkat\",\"Ish Sodhi\",\"Jofra Archer\",\"A Singh\"]\n",
    "# team2_batting_order=[\"SP Narine\",\"CA Lynn\",\"RV Uthappa\",\"S Rana\",\"KD Karthik\",\"AD Russell\",\"S Gill\",\"Shivam Mavi\",\"Javon Searles\",\"Prasidh Krishna\",\"Kuldeep Yadav\"]\n",
    "# team1_bowling_order=[\"Krishnappa Gowtham\",\"BA Stokes\",\"Jofra Archer\",\"BA Stokes\",\"Jofra Archer\",\"BA Stokes\",\"Ish Sodhi\",\"Krishnappa Gowtham\",\"Ish Sodhi\",\"JD Unadkat\",\"Ish Sodhi\",\"JD Unadkat\",\"A Singh\",\"Jofra Archer\",\"Ish Sodhi\",\"BA Stokes\",\"JD Unadkat\",\"Jofra Archer\",\"Krishnappa Gowtham\",\"A Singh\"]\n",
    "# team2_bowling_order=[\"Shivam Mavi\",\"Prasidh Krishna\",\"Shivam Mavi\",\"SP Narine\",\"AD Russell\",\"SP Narine\",\"AD Russell\",\"Kuldeep Yadav\",\"Prasidh Krishna\",\"Kuldeep Yadav\",\"SP Narine\",\"Kuldeep Yadav\",\"Shivam Mavi\",\"Kuldeep Yadav\",\"Shivam Mavi\",\"SP Narine\",\"Prasidh Krishna\",\"AD Russell\",\"Prasidh Krishna\",\"AD Russell\"]\n",
    "\n",
    "#DD vs RCB 19\n",
    "# team2_batting_order=[\"Q de Kock\",\"M Vohra\",\"V Kohli\",\"AB de Villiers\",\"CJ Anderson\",\"Mandeep Singh\",\"Washington Sundar\",\"CR Woakes\",\"UT Yadav\",\"Mohammed Siraj\",\"YS Chahal\"]\n",
    "# team1_batting_order=[\"JJ Roy\",\"G Gambhir\",\"SS Iyer\",\"RR Pant\",\"GJ Maxwell\",\"R Tewatia\",\"CH Morris\",\"V Shankar\",\"S Nadeem\",\"HV Patel\",\"TA Boult\"]\n",
    "# team1_bowling_order=[\"TA Boult\",\"GJ Maxwell\",\"TA Boult\",\"GJ Maxwell\",\"S Nadeem\",\"CH Morris\",\"S Nadeem\",\"CH Morris\",\"HV Patel\",\"R Tewatia\",\"HV Patel\",\"R Tewatia\",\"HV Patel\",\"R Tewatia\",\"CH Morris\",\"TA Boult\",\"CH Morris\",\"TA Boult\",\"HV Patel\",\"GJ Maxwell\"]\n",
    "# team2_bowling_order=[\"UT Yadav\",\"CR Woakes\",\"UT Yadav\",\"YS Chahal\",\"UT Yadav\",\"YS Chahal\",\"Mohammed Siraj\",\"Washington Sundar\",\"UT Yadav\",\"Washington Sundar\",\"CR Woakes\",\"Washington Sundar\",\"Mohammed Siraj\",\"Washington Sundar\",\"Mohammed Siraj\",\"YS Chahal\",\"CR Woakes\",\"Mohammed Siraj\",\"CR Woakes\",\"CJ Anderson\"]\n",
    "\n",
    "#RR vs RCB 11\n",
    "# team1_batting_order=[\"AM Rahane\",\"D'Arcy Short\",\"SV Samson\",\"BA Stokes\",\"JC Buttler\",\"RA Tripathi\",\"Krishnappa Gowtham\",\"S Gopal\",\"DS Kulkarni\",\"JD Unadkat\",\"B Laughlin\"]\n",
    "# team2_batting_order=[\"BB McCullum\",\"Q de Kock\",\"V Kohli\",\"AB de Villiers\",\"Mandeep Singh\",\"P Negi\",\"Washington Sundar\",\"CR Woakes\",\"Kulwant Khejroliya\",\"UT Yadav\",\"YS Chahal\"]\n",
    "# team2_bowling_order=[\"Washington Sundar\",\"CR Woakes\",\"Washington Sundar\",\"UT Yadav\",\"YS Chahal\",\"CR Woakes\",\"YS Chahal\",\"Kulwant Khejroliya\",\"Washington Sundar\",\"UT Yadav\",\"Washington Sundar\",\"Kulwant Khejroliya\",\"YS Chahal\",\"P Negi\",\"YS Chahal\",\"UT Yadav\",\"CR Woakes\",\"Kulwant Khejroliya\",\"CR Woakes\",\"UT Yadav\"]\n",
    "# team1_bowling_order=[\"Krishnappa Gowtham\",\"DS Kulkarni\",\"Krishnappa Gowtham\",\"JD Unadkat\",\"Krishnappa Gowtham\",\"BA Stokes\",\"S Gopal\",\"D Short\",\"S Gopal\",\"B Laughlin\",\"S Gopal\",\"JD Unadkat\",\"S Gopal\",\"Krishnappa Gowtham\",\"B Laughlin\",\"BA Stokes\",\"JD Unadkat\",\"B Laughlin\",\"BA Stokes\",\"B Laughlin\"]                     \n",
    "\n",
    "#CSK vs KXIP 12\n",
    "# team2_batting_order = [\"SR Watson\", \"M Vijay\", \"AT Rayudu\", \"SW Billings\", \"MS Dhoni\",\"RA Jadeja\", \"DJ Bravo\", \"DL Chahar\", \"Harbhajan Singh\", \"Imran Tahir\", \"SN Thakur\"]\n",
    "# team1_batting_order = [\"KL Rahul\", \"CH Gayle\", \"MA Agarwal\", \"Yuvraj Singh\", \"AJ Finch\", \"KK Nair\", \"R Ashwin\", \"AJ Tye\", \"BB Sran\", \"MM Sharma\", \"Mujeeb Ur Rahman\"]\n",
    "# team2_bowling_order = [\"DL Chahar\", \"Harbhajan Singh\", \"DL Chahar\", \"Harbhajan Singh\", \"SN Thakur\", \"DL Chahar\", \"Imran Tahir\", \"Harbhajan Singh\", \"SR Watson\", \"Harbhajan Singh\", \"DJ Bravo\",\"SR Watson\", \"Imran Tahir\", \"DJ Bravo\", \"Imran Tahir\",  \"SN Thakur\", \"Imran Tahir\", \"DJ Bravo\", \"SN Thakur\", \"DJ Bravo\"]\n",
    "# team1_bowling_order = [\"BB Sran\", \"MM Sharma\", \"BB Sran\", \"MM Sharma\", \"AJ Tye\", \"Mujeeb Ur Rahman\", \"R Ashwin\", \"Yuvraj Singh\", \"R Ashwin\", \"Mujeeb Ur Rahman\", \"AJ Tye\", \"Mujeeb Ur Rahman\",\"R Ashwin\", \"BB Sran\", \"R Ashwin\", \"BB Sran\", \"AJ Tye\", \"MM Sharma\", \"AJ Tye\", \"MM Sharma\"]\n",
    "\n",
    "#SRH vs CSK Final\n",
    "team1_batting_order=[\"SP Goswami\",\"S Dhawan\",\"KS Williamson\",\"Shakib Al Hasan\",\"YK Pathan\",\"DJ Hooda\",\"CR Brathwaite\",\"Rashid Khan\",\"B Kumar\",\"S Kaul\",\"Sandeep Sharma\"]\n",
    "team2_batting_order=[\"SR Watson\",\"F du Plessis\",\"SK Raina\",\"AT Rayudu\",\"MS Dhoni\",\"DJ Bravo\",\"RA Jadeja\",\"KV Sharma\",\"DL Chahar\",\"SN Thakur\",\"Imran Tahir\"]#lungi at 11\n",
    "team1_bowling_order=[\"B Kumar\",\"Sandeep Sharma\",\"B Kumar\",\"Sandeep Sharma\",\"B Kumar\",\"Sandeep Sharma\",\"S Kaul\",\"Rashid Khan\",\"S Kaul\",\"Rashid Khan\",\"Shakib Al Hasan\",\"CR Brathwaite\",\"Sandeep Sharma\",\"CR Brathwaite\",\"Rashid Khan\",\"B Kumar\",\"Rashid Khan\",\"S Kaul\",\"CR Brathwaite\",\"S Kaul\"]\n",
    "team2_bowling_order=[\"DL Chahar\",\"L Ngidi\",\"DL Chahar\",\"L Ngidi\",\"DL Chahar\",\"SN Thakur\",\"KV Sharma\",\"DJ Bravo\",\"RA Jadeja\",\"DL Chahar\",\"RA Jadeja\",\"DJ Bravo\",\"KV Sharma\",\"SN Thakur\",\"KV Sharma\",\"DJ Bravo\",\"L Ngidi\",\"DJ Bravo\",\"L Ngidi\",\"SN Thakur\"]\n",
    "\n",
    "#SRH vs CSK QUALIFIER 1\n",
    "# team2_bowling_order=[\"DL Chahar\",\"L Ngidi\",\"DL Chahar\",\"L Ngidi\",\"SN Thakur\",\"DL Chahar\",\"DJ Bravo\",\"RA Jadeja\",\"DJ Bravo\",\"RA Jadeja\",\"DL Chahar\",\"RA Jadeja\",\"SN Thakur\",\"RA Jadeja\",\"DJ Bravo\",\"L Ngidi\",\"DJ Bravo\",\"SN Thakur\",\"L Ngidi\",\"SN Thakur\"]\n",
    "# team1_bowling_order=[\"B Kumar\",\"Sandeep Sharma\",\"B Kumar\",\"S Kaul\",\"B Kumar\",\"S Kaul\",\"CR Brathwaite\",\"Rashid Khan\",\"CR Brathwaite\",\"Rashid Khan\",\"Shakib Al Hasan\",\"Rashid Khan\",\"Sandeep Sharma\",\"Shakib Al Hasan\",\"Sandeep Sharma\",\"Rashid Khan\",\"S Kaul\",\"CR Brathwaite\",\"S Kaul\",\"B Kumar\"]\n",
    "# team1_batting_order=[\"S Dhawan\",\"SP Goswami\",\"KS Williamson\",\"MK Pandey\",\"Shakib Al Hasan\",\"YK Pathan\",\"CR Brathwaite\",\"B Kumar\",\"Rashid Khan\",\"S Kaul\",\"Sandeep Sharma\"]\n",
    "# team2_batting_order=[\"SR Watson\",\"F du Plessis\",\"SK Raina\",\"AT Rayudu\",\"MS Dhoni\",\"DJ Bravo\",\"RA Jadeja\",\"DL Chahar\",\"Harbhajan Singh\",\"SN Thakur\"]\n",
    "\n",
    "#CSK vs MI 27\n",
    "# team1_batting_order=[\"SR Watson\",\"AT Rayudu\",\"SK Raina\",\"SW Billings\",\"RA Jadeja\",\"MS Dhoni\",\"DJ Bravo\",\"Harbhajan Singh\",\"DL Chahar\",\"SN Thakur\",\"Imran Tahir\"]\n",
    "# team2_batting_order=[\"AS Yadav\",\"Evin Lewis\",\"Ishan Kishan\",\"RG Sharma\",\"JP Duminy\",\"KH Pandya\",\"HH Pandya\",\"BCJ Cutting\",\"MJ McClenaghan\",\"SL Malinga\",\"JJ Bumrah\"]\n",
    "# team1_bowling_order=[\"DL Chahar\",\"SN Thakur\",\"DL Chahar\",\"SR Watson\",\"DL Chahar\",\"SN Thakur\",\"SR Watson\",\"Harbhajan Singh\",\"Imran Tahir\",\"Harbhajan Singh\",\"Imran Tahir\",\"Harbhajan Singh\",\"DJ Bravo\",\"SR Watson\",\"DJ Bravo\",\"SN Thakur\",\"DJ Bravo\",\"SR Watson\",\"SN Thakur\",\"Imran Tahir\"]\n",
    "# team2_bowling_order=[\"MJ McClenaghan\",\"JJ Bumrah\",\"MJ McClenaghan\",\"HH Pandya\",\"KH Pandya\",\"HH Pandya\",\"KH Pandya\",\"SL Malinga\",\"BCJ Cutting\",\"SL Malinga\",\"MJ McClenaghan\",\"KH Pandya\",\"JJ Bumrah\",\"KH Pandya\",\"HH Pandya\",\"SL Malinga\",\"JJ Bumrah\",\"MJ McClenaghan\",\"JJ Bumrah\",\"HH Pandya\"]\n",
    "\n",
    "\n",
    "# team1_batting_order = [\"C Munro\",\"G Gambhir\", \"SS Iyer\",\"V Shankar\", \"RR Pant\", \"R Tewatia\", \"CH Morris\", \"DT Christian\", \"A Mishra\", \"TA Boult\", \"Mohammed Shami\"]\n",
    "# team2_batting_order = [\"KL Rahul\", \"MA Agarwal\",\"Yuvraj Singh\", \"KK Nair\", \"DA Miller\", \"MP Stoinis\", \"AR Patel\", \"R Ashwin\", \"AJ Tye\", \"MM Sharma\", \"Mujeeb Ur Rahman\"]\n",
    "# team1_bowling_order = [\"TA Boult\", \"Mohammed Shami\", \"A Mishra\", \"CH Morris\", \"TA Boult\", \"CH Morris\", \"TA Boult\", \"DT Christian\", \"Mohammed Shami\",\"R Tewatia\", \"A Mishra\", \"R Tewatia\", \"A Mishra\", \"R Tewatia\", \"A Mishra\", \"DT Christian\", \"R Tewatia\", \"CH Morris\", \"TA Boult\", \"DT Christian\"]\n",
    "# team2_bowling_order = [\"R Ashwin\", \"MM Sharma\", \"Mujeeb Ur Rahman\", \"AR Patel\", \"Mujeeb Ur Rahman\", \"AJ Tye\", \"AR Patel\", \"R Ashwin\", \"AR Patel\", \"MP Stoinis\",\"MM Sharma\", \"R Ashwin\", \"AJ Tye\", \"Mujeeb Ur Rahman\", \"AJ Tye\", \"R Ashwin\", \"MM Sharma\", \"Mujeeb Ur Rahman\", \"AJ Tye\", \"MM Sharma\"]\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import trunc\n",
    "def simulate_innings(batting_order,bowling_order,target):\n",
    "    overnum=0\n",
    "    list_pass=[overnum]\n",
    "    batsman = batting_order[0]\n",
    "    nonstriker = batting_order[1]\n",
    "    bowler = bowling_order[overnum]\n",
    "    runs = 0\n",
    "    victoryFlag = 0\n",
    "    wickets = 0\n",
    "    while(overnum<20 and wickets<10 and victoryFlag==0):\n",
    "        list_pass=[overnum]\n",
    "        bowler = bowling_order[overnum]\n",
    "#         print(bowler,batsman,nonstriker)\n",
    "        res=batting_stats[batting_stats[\"Player Name\"]==batsman]\n",
    "        if(sys.getsizeof(res)<=24):\n",
    "            res = call_cluster(batsman,\"Batsman\")\n",
    "        list_pass.append(float(res[\"Average\"]))\n",
    "        list_pass.append(float(res[\"Strike Rate\"]))\n",
    "        list_pass.append(float(res[\"Sixes\"]))\n",
    "        list_pass.append(float(res[\"Fours\"]))\n",
    "        res=bowling_stats[bowling_stats[\"Player Name\"]==bowler]\n",
    "        if(sys.getsizeof(res)<=24):\n",
    "            res = call_cluster(bowler,\"Bowler\")\n",
    "        list_pass.append(float(res[\"Average\"]))\n",
    "        list_pass.append(float(res[\"Economy\"]))\n",
    "        list_pass.append(float(res[\"Strike Rate\"]))\n",
    "        list_pass.append(float(res[\"WicketsProb\"]))\n",
    "        res=batting_stats[batting_stats[\"Player Name\"]==nonstriker]\n",
    "        if(sys.getsizeof(res)<=24):\n",
    "            res = call_cluster(nonstriker,\"Batsman\")\n",
    "        list_pass.append(float(res[\"Average\"]))\n",
    "        list_pass.append(float(res[\"Strike Rate\"]))\n",
    "        list_pass.append(float(res[\"Sixes\"]))\n",
    "        list_pass.append(float(res[\"Fours\"]))\n",
    "#         print(list_pass)\n",
    "        overnum+=1;\n",
    "        overruns = modelR.predict(list_pass)\n",
    "        overruns = round(overruns)\n",
    "        if(overruns>36):\n",
    "            overruns=36\n",
    "        overwickets = modelW.predict(list_pass)\n",
    "        overwickets = round(overwickets)\n",
    "        if(overwickets>6):\n",
    "            overwickets = 6\n",
    "        runs_per_ball = overruns/6\n",
    "        overruns = overruns - (round(runs_per_ball*overwickets))\n",
    "        runs += overruns\n",
    "        wickets += overwickets\n",
    "        if(wickets>10):\n",
    "            wickets=10\n",
    "        print(\"Runs in over \",overnum,\": \",overruns,\" and total runs is: \",runs)\n",
    "        print(\"Wickets in over \",overnum,\": \",overwickets,\" and total wickets is: \",wickets)\n",
    "        if(wickets >= 10):\n",
    "            break\n",
    "        elif(overwickets!=0):\n",
    "            batsman = batting_order[wickets]\n",
    "            nonstriker = batting_order[wickets+1]\n",
    "        if(overruns%2==0):\n",
    "            temp = batsman\n",
    "            batsman = nonstriker\n",
    "            nonstriker = temp\n",
    "        if(target!=0 and runs > target):\n",
    "            victoryFlag=1            \n",
    "    return (runs,wickets)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Runs in over  1 :  5  and total runs is:  5\n",
      "Wickets in over  1 :  0  and total wickets is:  0\n",
      "Runs in over  2 :  7  and total runs is:  12\n",
      "Wickets in over  2 :  0  and total wickets is:  0\n",
      "Runs in over  3 :  5  and total runs is:  17\n",
      "Wickets in over  3 :  0  and total wickets is:  0\n",
      "Runs in over  4 :  6  and total runs is:  23\n",
      "Wickets in over  4 :  1  and total wickets is:  1\n",
      "Runs in over  5 :  7  and total runs is:  30\n",
      "Wickets in over  5 :  1  and total wickets is:  2\n",
      "Runs in over  6 :  9  and total runs is:  39\n",
      "Wickets in over  6 :  0  and total wickets is:  2\n",
      "Runs in over  7 :  7  and total runs is:  46\n",
      "Wickets in over  7 :  0  and total wickets is:  2\n",
      "Runs in over  8 :  6  and total runs is:  52\n",
      "Wickets in over  8 :  1  and total wickets is:  3\n",
      "Runs in over  9 :  8  and total runs is:  60\n",
      "Wickets in over  9 :  0  and total wickets is:  3\n",
      "Runs in over  10 :  12  and total runs is:  72\n",
      "Wickets in over  10 :  0  and total wickets is:  3\n",
      "Runs in over  11 :  8  and total runs is:  80\n",
      "Wickets in over  11 :  0  and total wickets is:  3\n",
      "Runs in over  12 :  7  and total runs is:  87\n",
      "Wickets in over  12 :  0  and total wickets is:  3\n",
      "Runs in over  13 :  7  and total runs is:  94\n",
      "Wickets in over  13 :  0  and total wickets is:  3\n",
      "Runs in over  14 :  9  and total runs is:  103\n",
      "Wickets in over  14 :  0  and total wickets is:  3\n",
      "Runs in over  15 :  7  and total runs is:  110\n",
      "Wickets in over  15 :  2  and total wickets is:  5\n",
      "Runs in over  16 :  7  and total runs is:  117\n",
      "Wickets in over  16 :  2  and total wickets is:  7\n",
      "Runs in over  17 :  7  and total runs is:  124\n",
      "Wickets in over  17 :  1  and total wickets is:  8\n",
      "Runs in over  18 :  6  and total runs is:  130\n",
      "Wickets in over  18 :  0  and total wickets is:  8\n",
      "Runs in over  19 :  3  and total runs is:  133\n",
      "Wickets in over  19 :  1  and total wickets is:  9\n",
      "Runs in over  20 :  4  and total runs is:  137\n",
      "Wickets in over  20 :  0  and total wickets is:  9\n",
      "Team 1 total:  137  and wickets:  9\n",
      "\n",
      "Runs in over  1 :  6  and total runs is:  6\n",
      "Wickets in over  1 :  0  and total wickets is:  0\n",
      "Runs in over  2 :  6  and total runs is:  12\n",
      "Wickets in over  2 :  0  and total wickets is:  0\n",
      "Runs in over  3 :  7  and total runs is:  19\n",
      "Wickets in over  3 :  0  and total wickets is:  0\n",
      "Runs in over  4 :  7  and total runs is:  26\n",
      "Wickets in over  4 :  1  and total wickets is:  1\n",
      "Runs in over  5 :  7  and total runs is:  33\n",
      "Wickets in over  5 :  0  and total wickets is:  1\n",
      "Runs in over  6 :  7  and total runs is:  40\n",
      "Wickets in over  6 :  0  and total wickets is:  1\n",
      "Runs in over  7 :  7  and total runs is:  47\n",
      "Wickets in over  7 :  0  and total wickets is:  1\n",
      "Runs in over  8 :  6  and total runs is:  53\n",
      "Wickets in over  8 :  1  and total wickets is:  2\n",
      "Runs in over  9 :  7  and total runs is:  60\n",
      "Wickets in over  9 :  0  and total wickets is:  2\n",
      "Runs in over  10 :  6  and total runs is:  66\n",
      "Wickets in over  10 :  1  and total wickets is:  3\n",
      "Runs in over  11 :  7  and total runs is:  73\n",
      "Wickets in over  11 :  0  and total wickets is:  3\n",
      "Runs in over  12 :  7  and total runs is:  80\n",
      "Wickets in over  12 :  0  and total wickets is:  3\n",
      "Runs in over  13 :  8  and total runs is:  88\n",
      "Wickets in over  13 :  0  and total wickets is:  3\n",
      "Runs in over  14 :  7  and total runs is:  95\n",
      "Wickets in over  14 :  0  and total wickets is:  3\n",
      "Runs in over  15 :  7  and total runs is:  102\n",
      "Wickets in over  15 :  0  and total wickets is:  3\n",
      "Runs in over  16 :  9  and total runs is:  111\n",
      "Wickets in over  16 :  0  and total wickets is:  3\n",
      "Runs in over  17 :  7  and total runs is:  118\n",
      "Wickets in over  17 :  0  and total wickets is:  3\n",
      "Runs in over  18 :  11  and total runs is:  129\n",
      "Wickets in over  18 :  0  and total wickets is:  3\n",
      "Runs in over  19 :  7  and total runs is:  136\n",
      "Wickets in over  19 :  2  and total wickets is:  5\n",
      "Runs in over  20 :  8  and total runs is:  144\n",
      "Wickets in over  20 :  0  and total wickets is:  5\n",
      "Team 2 total:  144  and wickets:  5\n",
      "TEAM 2 WINS\n"
     ]
    }
   ],
   "source": [
    "team1 = simulate_innings(team1_batting_order, team2_bowling_order, 0)\n",
    "print(\"Team 1 total: \",team1[0],\" and wickets: \",team1[1])\n",
    "print()\n",
    "team2 = simulate_innings(team2_batting_order, team1_bowling_order, team1[0])\n",
    "print(\"Team 2 total: \",team2[0],\" and wickets: \",team2[1])\n",
    "if(team1[0]>team2[0]):\n",
    "    print(\"TEAM 1 WINS\")\n",
    "else:\n",
    "    print(\"TEAM 2 WINS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print(modelR.toDebugString())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print(modelW.toDebugString())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uid=1000(aveek) gid=1000(aveek) groups=1000(aveek),4(adm),20(dialout),24(cdrom),27(sudo),30(dip),46(plugdev),118(lpadmin),128(sambashare),997(docker)\r\n"
     ]
    }
   ],
   "source": [
    "!id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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