clscurves 0.3.1

Compute and plot bootstrapped performance curves for classification problems.

classification-curves

A library for computing and plotting bootstrapped metrics (ROC curves, Precision-Recall curves, etc.) to evaluate the performance of a classification model.

Example

mg = MetricsGenerator(
    predictions_df,
    label_column = "label",
    score_column = "score",
    weight_column = "weight",
    score_is_probability = False,
    reverse_thresh = False,
    num_bootstrap_samples = 20)

mg.plot_pr(bootstrapped = True)
mg.plot_roc()