Package: mccf1 1.1

mccf1: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold

The MCC-F1 analysis is a method to evaluate the performance of binary classifications. The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve under imbalanced ground truth. The MCC-F1 analysis also provides the MCC-F1 metric that integrates classifier performance over varying thresholds, and the best threshold of binary classification.

Authors:Chang Cao [aut, cre], Michael Hoffman [aut], Davide Chicco [aut]

mccf1_1.1.tar.gz
mccf1_1.1.zip(r-4.7)mccf1_1.1.zip(r-4.6)mccf1_1.1.zip(r-4.5)
mccf1_1.1.tgz(r-4.6-any)mccf1_1.1.tgz(r-4.5-any)
mccf1_1.1.tar.gz(r-4.7-any)mccf1_1.1.tar.gz(r-4.6-any)
mccf1_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mccf1/json (API)

# Install 'mccf1' in R:
install.packages('mccf1', repos = c('https://kirin666.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://bitbucket.org/hoffmanlab/mccf1

On CRAN:

Conda:

1.61 score 41 scripts 193 downloads 1 exports 23 dependencies

Last updated from:1de30c1b8f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK167
linux-release-x86_64OK108
macos-release-arm64OK219
macos-oldrel-arm64OK192
windows-develOK81
windows-releaseOK77
windows-oldrelOK67
wasm-releaseOK95

Exports:mccf1

Dependencies:bitopscaToolsclicpp11farverggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglifecycleR6RColorBrewerrlangROCRS7scalesvctrsviridisLitewithr