Package: MetricsWeighted 1.0.4
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:
MetricsWeighted_1.0.4.tar.gz
MetricsWeighted_1.0.4.zip(r-4.7)MetricsWeighted_1.0.4.zip(r-4.6)MetricsWeighted_1.0.4.zip(r-4.5)
MetricsWeighted_1.0.4.tgz(r-4.6-any)MetricsWeighted_1.0.4.tgz(r-4.5-any)
MetricsWeighted_1.0.4.tar.gz(r-4.7-any)MetricsWeighted_1.0.4.tar.gz(r-4.6-any)
MetricsWeighted_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MetricsWeighted/json (API)
NEWS
| # Install 'MetricsWeighted' in R: |
| install.packages('MetricsWeighted', repos = c('https://mayer79.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mayer79/metricsweighted/issues
machine-learningmetricsperformancestatistics
Last updated from:4f4dfa806f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 167 | ||
| source / vignettes | OK | 166 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 88 | ||
| macos-oldrel-arm64 | OK | 120 | ||
| windows-devel | OK | 116 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 99 |
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:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classification Metrics | accuracy AUC classification classification_error deviance_bernoulli f1_score gini_coefficient logLoss precision recall |
| Elementary Scoring Function for Expectiles and Quantiles | elementary_score elementary_score_expectile elementary_score_quantile |
| Multiple Metrics | multi_metric |
| Murphy diagram | murphy_diagram |
| Performance | performance |
| Regression Metrics | deviance_gamma deviance_normal deviance_poisson deviance_tweedie mae mape medae mse prop_within regression rmse |
| Generalized R-Squared | rsquared r_squared r_squared_bernoulli r_squared_gamma r_squared_poisson |
| Weighted Pearson Correlation | weighted_cor |
| Weighted Mean | weighted_mean |
| Weighted Median | weighted_median |
| Weighted Quantiles | weighted_quantile |
| Weighted Variance | weighted_var |
