accuracy_score(y_true, y_pred, *[, normalize])

Accuracy classification score.

auc(x, y)

Compute Area Under the Curve (AUC) using the trapezoidal rule.

confusion_matrix(y_true, y_pred)

Compute confusion matrix to evaluate the accuracy of a classification.

f1_score(y_true, y_pred, *[, average])

Compute the F1 score, also known as balanced F-score or F-measure.

mean_absolute_error(y_true, y_pred)

Mean absolute error regression loss.

mean_squared_error(y_true, y_pred)

Mean squared error regression loss.

precision_score()

Compute the precision.

r2_score(y_true, y_pred, *[, force_finite])

\(R^2\) (coefficient of determination) regression score function.

recall_score(y_true, y_pred, *[, average])

Compute the recall.

roc_auc_score(y_true, y_score)

Compute Area Under the Receiver Operating Characteristic Curve (ROC AUC) from prediction scores.

roc_curve(y_true, y_score, *[, ...])

Compute Receiver operating characteristic (ROC).