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Metrics

Evaluation Metrics for Machine Learning

An implementation of evaluation metrics in R that are commonly used in supervised machine learning. It implements metrics for regression, time series, binary classification, classification, and information retrieval problems. It has zero dependencies and a consistent, simple interface for all functions.

Versions across snapshots

VersionRepositoryFileSize
0.1.4 rolling linux/jammy R-4.5 Metrics_0.1.4.tar.gz 80.4 KiB
0.1.4 rolling linux/noble R-4.5 Metrics_0.1.4.tar.gz 80.6 KiB
0.1.4 rolling source/ R- Metrics_0.1.4.tar.gz 14.3 KiB
0.1.4 latest linux/jammy R-4.5 Metrics_0.1.4.tar.gz 80.4 KiB
0.1.4 latest linux/noble R-4.5 Metrics_0.1.4.tar.gz 80.6 KiB
0.1.4 latest source/ R- Metrics_0.1.4.tar.gz 14.3 KiB
0.1.4 2026-04-26 source/ R- Metrics_0.1.4.tar.gz 14.3 KiB
0.1.4 2026-04-23 source/ R- Metrics_0.1.4.tar.gz 14.3 KiB
0.1.4 2026-04-09 windows/windows R-4.5 Metrics_0.1.4.zip 84.5 KiB
0.1.4 2025-04-20 source/ R- Metrics_0.1.4.tar.gz 14.3 KiB

Dependencies (latest)

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