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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.
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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.
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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.
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10- titleCRAN: Package Metrics
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- citation_titleEvaluation Metrics for Machine Learning [R package Metrics version 0.1.4]
- citation_author1Ben Hamner
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5- og:titleMetrics: Evaluation Metrics for Machine Learning
- og:descriptionAn 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.
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- og:urlhttps://CRAN.R-project.org/package=Metrics
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5- https://CRAN.R-project.org/package=Metrics
- https://CRAN.R-project.org/src/contrib/Archive/Metrics
- https://doi.org/10.32614/CRAN.package.Metrics
- https://github.com/mfrasco/Metrics
- https://github.com/mfrasco/Metrics/issues