bacc

true

predicted

Logical: passed to <a rd-options="" href="/link/sensitivity?package=rtemis&version=0.79" data-mini-rdoc="rtemis::sensitivity">sensitivity</a> and <a rd-options="" href="/link/specificity?package=rtemis&version=0.79" data-mini-rdoc="rtemis::specificity">specificity</a>, which use <a rd-options="" href="/link/factorHarmonize?package=rtemis&version=0.79" data-mini-rdoc="rtemis::factorHarmonize">factorHarmonize</a>.
Default = FALSE

harmonize

Logical: If TRUE, print messages to output

verbose

Balanced Accuracy of a binary classifier

Advanced Machine Learning and Visualization made efficient and accessible. Unsupervised Learning (Clustering, Decomposition), Supervised Learning (Classification, Regression, Survival Analysis), Cross-Decomposition, Bagging, Boosting, Meta-models. Static and dynamic graphs.

Efstathios D. Gennatas

rtemis

Machine Learning and Visualization

bacc function

Logical: passed to <a rd-options='' href='sensitivity'>sensitivity</a> and <a rd-options='' href='specificity'>specificity</a>, which use <a rd-options='' href='factorHarmonize'>factorHarmonize</a>.
Default = FALSE

bacc: Balanced Accuracy

Description

Usage

Arguments

Details