Pharmaceutical, Machine Learning, Graph Theory, Linear Programming.
sklearn import metrics f1_score(y_test,y_pred) Model parameters and assessment We use a test size of 33% and the remaining data is used to train the model The following confusion matrix is obtained We obtain an accuracy of ~88.37% from the XGBoost Classifier * Based on this XGBoost model, we can