Export PMML that outputs class probabilities

[mlauber71]

I think it depends on the type of model. Normally you would have to tell the Predictor to add the class probabilities. The generic PMML predictor does not have this function - or it depends on the type of model.

Looking for options to evaluate a decision tree

One ‘brutal’ way could be to convert the decision tree rules into SQL and then use the SQL code. Or use the ruleset to make some kind of If then rules. Not very elegant I have to admit. [27] [35] kn_example_decision_tree.knwf (510.8 KB)

Nodes that support Probabilities and PMML are:

Decision Tree Learner — NodePit

Additionally the Decision Tree offers the possibility to create a quite readably ruleset that you can then use with SQL or another language

Naive Bayes Learner — NodePit

RProp MLP Learner — NodePit

SVM Learner — NodePit

Additionally the

PMML Compiling Predictor — NodePit

Supports these model types and also has the possibility to add probabilities/scores. But from my experience needs some resources to work

Currently supported PMML models are all those generated by KNIME plus Naive Bayes:

• Regression
• SVM
• MLP
• K-Means Clustering
• Decision Trees
• Naive Bayes
• Rulesets
• Ensembles of the above