Tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the model to the test set - Evaluate the performance of the Decision Tree model - Train a Logistic Regression model on the training set, and apply the model to the test set - Evaluate the performance of the Logistic Regression model - Optimize the tree depth of a Random Forest model, and train and apply a Random Forest model using the optimal parameter value - Evaluate the performance of the Random Forest model - Compare the performances of the different models using scoring metrics for a classification model and an ROC Curve - Write the best performing model to a file
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Created with KNIME Analytics Platform version 4.3.2
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