This applicaiton will guide you through the process of eliminating data columns that are useless or even harmful to your analysis. The average error in % from a cross-validation procedure is used as a measure for the data set quality. Cross-validation is ten-fold and based here on a decision tree. Final decisions are recorded in an audit report and saved in file auditReport.xls. The whole workflow has been implemented to run interactively on the KNIME WebPortal. On the WebPortal press START to begin.
This is a companion discussion topic for the original entry at https://kni.me/w/rzrAX603Wjir1NPq