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Revised the report #49

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PANDASANG1231 opened this issue Dec 11, 2021 · 0 comments

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PANDASANG1231 commented Dec 11, 2021

According to TA's milestone one review. Add wrapper feature selector.
Used four models, LR, SVM, Random forest, and CatBoost. And picked the catboost.
According to peer review, add confusion matrix. Use metrics like precision, recall, f1 score to compare train and test.
According to peer review, add cv in the code
According to peer review, use shap to explain the model

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