ROCit

cranv2.1.2

Performance Assessment of Binary Classifier with Visualization. Sensitivity (or recall or true positive rate), false positive rate, specificity, precision (or positive predictive value), negative predictive value, misclassification rate, accuracy, F-score- these are popular metrics for assessing performance of binary classifier for certain threshold. These metri

License GPL-3strong copyleft0 versions1 maintainers4 deps297 weekly dl
https://CRAN.R-project.org/package=ROCit
41
/ 100
Health
safe to use

[email protected] is safe to use (health: 41/100)

Health breakdown0 – 100
5/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2024-05-16 15:50:04

Last updated · 2024-05-16T13:30:02+00:00

ROCit — Health Score 41/100 | DepScope