confusion matrix python
from sklearn.metrics import confusion_matrix
conf_mat = confusion_matrix(y_test, y_pred)
sns.heatmap(conf_mat, square=True, annot=True, cmap='Blues', fmt='d', cbar=False)confusion matrix python
from sklearn.metrics import confusion_matrix
conf_mat = confusion_matrix(y_test, y_pred)
sns.heatmap(conf_mat, square=True, annot=True, cmap='Blues', fmt='d', cbar=False)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()Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
