Added Classification models to get higher accuracy

dsc-jiit-128 / ML_classification_Hacktoberfest

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Added Classification models to get higher accuracy #14

Closed void-02 closed 2 years ago

void-02 commented 2 years ago

Boosting and Neural Network based classification models like light GBM, Catboost, MLP, etc. and Bagged classifiers were added to achieve significantly higher accuracy. The maximum accuracy was achieved through Bagged Light GBM. Below are the results-	Classifier	Accuracy
Random Forest	98.12%
Catboost	98.52%
Multilayer Perceptron (MLP)	98.16%
Light GBM	98.83%
Bagged Decision Tree	98.52%
Bagged Light GBM	98.92%
Bagged Catboost	98.65%

Will you please merge my pull request @sarthakpant772