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This is python implementation of predicating our favorite cricket league IPL using Random forest and logistic regression classifier.

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Mithilesh1609/IPL_2017_Match_Result_predictor

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IPL_2017_Match_Predication

This is python implementation of predicting our favorite cricket league IPL using Random forest and logistic regression classifier.

Source of the Dataset

We have used dataset from kaggle (Link) which is contrubuted by Manas.

python library used

  • Pandas (for data processing and I/O operation of CSV file)(reference)
  • Numpy (for basic linear algebra) (reference)
  • Sklearn (for building predictive model) (reference)
  • Matplotlib (for plotting the data) (reference)
  • Seaborn (for statistical data visualization)(reference)
  • Sklearn.kFlod (for split the testing and traning data)(reference)

Results

  • First I used basic logistic regression model which is getting very low accuracy of 24.01%
  • And then I used Random forest classification model which is giving great accuracy of 89.15%

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This is python implementation of predicating our favorite cricket league IPL using Random forest and logistic regression classifier.

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