tdmEnvTReportSens

<p>the configuration list of all spot parameters</p>

spotConfig

<p>The sensitivity curves are based on a metamodel which is a random forest with 100 trees 
fitted to the result points from RES-file. The plot contains: 
   x-axis:   ROI for each parameter normalized to [-1,1]
   y-axis:</p>

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

tdmEnvTReportSens: Function to generate a report with sensitivity plot.

Description

Usage

Arguments

See Also