py_predpurchase.function_classification_metrics

Module Contents

Functions

calculate_classification_metrics(y_true, y_pred)

Calculates classification metrics for model predictions including precision,

py_predpurchase.function_classification_metrics.calculate_classification_metrics(y_true, y_pred)[source]

Calculates classification metrics for model predictions including precision, recall, accuracy, and F1 scores.

Parameters:

y_truearray-like or pd.Series

True target values in a dataset.

y_predarray-like or pd.Series

Predicted target values by the model.

Returns:

dict

Contains precision, recall, accuracy, and F1 score.

Examples:

Assume y_true and y_pred are as follows:

>>> y_true = [0, 1, 2, 0, 1]
>>> y_pred = [0, 2, 1, 0, 0]
>>> calculate_classification_metrics(y_true, y_pred)