sklearn plot confusion matrix
import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix, plot_confusion_matrix clf = # define your classifier (Decision Tree, Random Forest etc.) clf.fit(X, y) # fit your classifier # make predictions with your classifier y_pred = clf.predict(X) # optional: get true negative (tn), false positive (fp) # false negative (fn) and true positive (tp) from confusion matrix M = confusion_matrix(y, y_pred) tn, fp, fn, tp = M.ravel() # plotting the confusion matrix plot_confusion_matrix(clf, X, y) plt.show()