bigframes.ml.metrics

Functions

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).