MetricsWeighted1.0.4 package

Weighted Metrics and Performance Measures for Machine Learning

classification

Classification Metrics

elementary_score

Elementary Scoring Function for Expectiles and Quantiles

multi_metric

Multiple Metrics

murphy_diagram

Murphy diagram

performance

Performance

regression

Regression Metrics

rsquared

Generalized R-Squared

weighted_cor

Weighted Pearson Correlation

weighted_mean

Weighted Mean

weighted_median

Weighted Median

weighted_quantile

Weighted Quantiles

weighted_var

Weighted Variance

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Provides weighted versions of several metrics and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.

  • Maintainer: Michael Mayer
  • License: GPL (>= 2)
  • Last published: 2025-04-12

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