Comparing Random Forest in KNIME vs Python-SKlearn

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A random forest model is executed multiple times in KNIME and in Python, using sklearn in a Python Script node. The results are compared. And you will see that there is no difference between both approaches.

Nodes

• Math Formula3 ×
• Column Appender2 ×
• Column Filter2 ×
• Component Input2 ×
• Component Output2 ×
• Concatenate2 ×
• Constant Value Column2 ×
• Line Plot (JavaScript)2 ×
• Loop End2 ×
• Partitioning2 ×
• Random Forest Learner2 ×
• Random Forest Predictor2 ×
• Row Splitter2 ×
• CSV Reader1 ×
• Column Aggregator1 ×
• Column List Loop Start1 ×
• Column Rename1 ×
• Counting Loop Start1 ×
• File Reader1 ×
• GroupBy1 ×
• Missing Value1 ×
• Missing Value Column Filter1 ×
• Number To String1 ×
• Pivoting1 ×
• Python Script (2⇒1)1 ×
• Reference Column Filter1 ×
• Scorer1 ×
• Scorer (JavaScript)1 ×
• Sorter1 ×
• Table View (JavaScript)1 ×
• Variable to Table Column1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME JavaScript Views
• FeatureKNIME JavaScript Views (Labs)
• FeatureKNIME Math Expression (JEP)
• Show all 6 modules

Links

• See this forum topic

  forum.knime.com/t/random-forest-learner-provides-different-result-as-vs-random-forest-classifier-from-sklearn-in-python/17554/3