tdmModVote2Target

vector: which fraction of trees votes for class 0?

vote0

vector: the predicted class for each record (0/1)

pred

vector: the true class for each vector (0/1)

target

This function analyzes whether in different vote bins the trained RF makes
predictions with different reliability. Only for RF-prediction in case of 
binary (0/1) classification. Expected result: The larger the fraction
of trees voting for class 0 is, the smaller is the percentage of true class-1-
cases in this vote bin.
This function is somewhat specialized for the DMC2010-task.

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>.

tdmModVote2Target: Analyze how the vote fraction corresponds to reliability of prediction.

Description

Usage

Arguments

Value