This workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we optimize the minimum number of records per node within a range [2,15] with step 1. In the Logistic Regression we optimize step size in (0,1] step =0.1 and variance in (0, 5] step = 0.1
Used extensions & nodes
Created with KNIME Analytics Platform version 4.1.0
Loading ad hoc executions
By using or downloading the workflow, you agree to our terms and conditions.
Discussions are currently not available, please try again later.