package cpm

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The Classification and Regression Performance Metrics library

Install

sha256=1b15e4108a4528428e0c9e49e1b42280d3d43957aa45c096a92fc4f17e3d43d1

md5=dac9411c0f3f5d0f8f450a4468ef3385

For classification/ranking: ROC AUC, BEDROC AUC, Enrichment Factor, Robust Initial Enhancement, Power Metric, Matthews' Correlation Coefficient.

For regression: Root Mean Squared Error, Mean Absolute Error, r^2 coefficient of determination, Raw Regression Error Characteristic Curve.

Also features a TopKeeper module; to keep in memory the top 'k' scored items when dealing with very large datasets.

Classification and Regression Performance Metrics library

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