Package: MetricsWeighted 1.0.3

MetricsWeighted: Weighted Metrics and Performance Measures for Machine Learning

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.

Authors:Michael Mayer [aut, cre], Christian Lorentzen [ctb]

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Bug tracker:https://github.com/mayer79/metricsweighted/issues

On CRAN:

machine-learningmetricsperformancestatistics

33 exports 11 stars 2.38 score 0 dependencies 4 dependents 55 scripts 901 downloads

Last updated 2 months agofrom:e09b2b453f. Checks:OK: 7. Indexed: yes.

Exports:accuracyAUCclassification_errordeviance_bernoullideviance_gammadeviance_normaldeviance_poissondeviance_tweedieelementary_score_expectileelementary_score_quantilef1_scoregini_coefficientlogLossmaemapemedaemsemulti_metricmurphy_diagramperformanceprecisionprop_withinr_squaredr_squared_bernoullir_squared_gammar_squared_poissonrecallrmseweighted_corweighted_meanweighted_medianweighted_quantileweighted_var

Dependencies: