Pharmaceutical, Machine Learning, Graph Theory, Linear Programming.
model.fit(X_train, y_train) from sklearn.metrics import confusion_matrix y_pred=model.predict(X_test) import seaborn as sns sns.heatmap(confusion_matrix(y_test,y_pred),annot_kws={ 'fontsize': 16, 'fontweight': 'bold', 'fontfamily': 'serif' }, annot=True) from sklearn.metrics import f1_score from