Package: softclassval 1.0-20160527
softclassval: Soft Classification Performance Measures
An extension of sensitivity, specificity, positive and negative predictive value to continuous predicted and reference memberships in [0, 1].
Authors:
softclassval_1.0-20160527.tar.gz
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softclassval.pdf |softclassval.html✨
softclassval/json (API)
# Install 'softclassval' in R: |
install.packages('softclassval', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/softclassval
Last updated 9 years agofrom:1c03665b76. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 10 2024 |
R-4.5-win | NOTE | Dec 10 2024 |
R-4.5-linux | NOTE | Dec 10 2024 |
R-4.4-win | OK | Dec 10 2024 |
R-4.4-mac | OK | Dec 10 2024 |
R-4.3-win | OK | Dec 10 2024 |
R-4.3-mac | OK | Dec 10 2024 |
Exports:andcheckrpconfmatconfusiondevdev<-factor2matrixgdlhardhard<-hardclasseshardenluknpvnsamplespostprocpostproc<-ppvprdsenssoftclassval.unittestspecstrongweakwMAEwMSEwRMAEwRMSE
Dependencies:arrayhelperssvUnit
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Soft classification performance measures | softclassval-package |
Input checks and reference preparation for performance calculation | checkrp |
Performance calculation for soft classification | confmat confusion npv ppv sens spec |
Mark operator as deviation measure | dev dev<- |
Convert hard class labels to membership matrix | factor2matrix |
Mark operator as hard measure | hard hard<- |
Convert to hard class labels | hardclasses harden |
Number of samples | nsamples |
Attach postprocessing function to operator | postproc postproc<- |
Run the unit tests | softclassval.unittest |
And (conjunction) operators | and gdl luk prd strong weak wMAE wMSE wRMAE wRMSE |