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Knime_​first_​Assignment_​A2

Data preparation and Feature Selection

Model Training & Testing

XGBoost Predictor
Feature Selection Filter
Local File System Connector
Duplicate Row Filter
CSV Reader
Accuracy:90.5% approx
Scorer
Feature Selection Loop Start (1:1)
Top: train (70%)Bottom: test (30%)
Table Partitioner
Number to String
SMOTE
Random Forest Predictor
Inspect ROC Curve
ROC Curve
Scorer
Feature Selection Loop End
XGBoost Tree Ensemble Learner
Random Forest Learner
Z score
Normalizer
Feature Selection Filter
Normalizer (Apply)

Nodes

Extensions

Links