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09 Decision Tree Model - Solution

Classification Decision tree Overall accuracy Scorer ROC curve
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Solution to an exercise for training a classification model. Train and apply a decision tree model. Evaluate the model's performance with scoring metrics and an ROC curve. CHECK YOUR ANSWERS: a. The overall accuracy of the model is around 86% b. The number of rows in the test dataset is 8138 c. The Area under the Curve statistics is around 0.88 for the decision tree model

External resources

  • Decision Tree Learner Node: Algorithm Settings
  • Evaluating Classification Model Performance with the Scorer (JavaScript) Node
  • ROC Curve of a Classification Model

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Created with KNIME Analytics Platform version 4.4.0
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