CRAN/E | mccf1

mccf1

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

Installation

About

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.

bitbucket.org/hoffmanlab/mccf1/
Bug report File report

Key Metrics

Version 1.1
R ≥ 3.3.3
Published 2019-11-11 1768 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Chang Cao

Authors

Chang Cao

aut / cre

Michael Hoffman

aut

Davide Chicco

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mccf1 archive

Depends

R ≥ 3.3.3
ggplot2

Imports

ROCR