I have a problem with the feature elimination Node. It stops with the following fault:
WARN DecisionTreeNodeSplitPMML Decision Tree Prediction failed. Could not find branch for row 'Row45839: …
WARN Backward Feature Elimination Filter No features selected yet
ERRORBackward Feature Elimination End Execute failed: This node cannot handle missing values
What am I doing wrong?
if seems that the domain of your training data for the decision tree does not match the domain of the input data for the decision tree predictor. For a data row with "new" values it is possible that the decision tree predictor cannot perform a prediction and hence returns a missing value as prediction which cannot be handled by the feature elimination node.
The easiest workaround for you is to append a "Missing Value" node to the predictor and remove the rows with missing values.