Compute and plot bootstrapped performance curves for classification problems.
Project description
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()
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