T20 PREDICTOR

BY :RAJAT BAJAJ101303130COE-6

T20 PREDICTOR

T-20 PREDICTORT-20 Predictoris a calculation tool developed in WEKA , which will be used incricketto predict scores and possible results of a T-20 match depending upon certain parameters like Venue , Pitch etc.

ObjectivesIn the first innings of a T-20 match, it acts as aScore Predictor i.e it will predict score at various stages for Batting Team.In the second innings, it works as aWin predictor i.e it will predict whether Batting Team will win or lose while chasing a Target given by the opposite Team.

Data Selection and Collection-> Data was gathered from espncricinfo.com-> Data gathered initially was unstructured and raw-> Data was cleaned and duplicates were removed -> Only important attributes were taken in consideration-> Data was stored in the form of rows and columns

Processed Dataset

MethodologiesScore Predictor : In this part , we will use linear regression technique to predict a continuous numeric value for score.Win predictor : In this part , we will use Classification using Decision Tree to predict either win , loss or a tie.

MethodologiesLinear Regression : It is a data mining function that predicts a numerical value for an attribute (to be predicted ), by using values of other attributesClassification : Decision tree builds classification models in the form of a tree structure. It breaks down a dataset into smaller subsets and at the same time an associated decision tree is incrementally developed.

AttributesThere are total 9 attributes in the data-set Data-set will consist of 73 records.Venue has values : Home , Away and Neutral Pitch type has values Green , Flat , Hard and DryScores are given by their values and number of wickets fallenBatting has two values : 1st and 2ndResult can have three values : Win , Loss or TieIn Phase-1 : 20-over score attribute will be class attributeIn Phase-2: Result attribute will be class attribute