tdmROCR

return value from a prior call to <code><a rd-options="" href="/link/tdmClassifyLoop?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmClassifyLoop">tdmClassifyLoop</a></code>, an object of class <code><a rd-options="" href="/link/TDMclassifier?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMclassifier">TDMclassifier</a></code>.

Interactive plot of ROC, lift or other charts for a <code><a rd-options="" href="/link/TDMclassifier?package=TDMR&version=2.2" data-mini-rdoc="TDMR::TDMclassifier">TDMclassifier</a></code> object.
See <code><a rd-options="" href="/link/tdmROCR.TDMclassifier?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmROCR.TDMclassifier">tdmROCR.TDMclassifier</a></code> for details.

internal

Tuned Data Mining in R ('TDMR') performs the complete tuning of a
data mining task (predictive analytics, that is classification and regression).
Preprocessing parameters and modeling parameters can be tuned simultaneously.
It incorporates a variety of tuners (among them 'SPOT' and 'CMA' with package 'rCMA') and
allows integration of additional tuners. Noise handling in the data mining optimization
process is supported, see Koch et al. (2015) <doi:10.1016/j.asoc.2015.01.005>.

Wolfgang Konen

TDMR

Tuned Data Mining in R

tdmROCR function

return value from a prior call to <code><a rd-options='' href='tdmClassifyLoop'>tdmClassifyLoop</a></code>, an object of class <code><a rd-options='' href='TDMclassifier'>TDMclassifier</a></code>.

Interactive plot of ROC, lift or other charts for a <code><a rd-options='' href='TDMclassifier'>TDMclassifier</a></code> object.
See <code><a rd-options='' href='tdmROCR.TDMclassifier'>tdmROCR.TDMclassifier</a></code> for details.

tdmROCR: Interactive plot of ROC charts

Description

Usage

Arguments

See Also