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We focus on only 2 types of machine learning models:
1) Decision Tree Classifier
2) Random Forest Classifier
Grid Search is used for hyperparameter tuning purpose. This is aim to find the best combination of values of the hyperparameters for different machine learning models.
Decision Tree Classifier
Test accuracy of DecisionTree is 70%
Normal MMSE has gotten 0 score for all precision, recall and f1 scores. Only 1 person is predicted as Normal MMSE.
Random Forest Classifier
Test accuracy of RandomForest is 69.8%
Normal MMSE has low scores for recall and f1-score. Only 1 person is predicted as Normal MMSE.
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