KNIME Data Science Learnathon - Group 2A - Training Evaluation and Optimization

The data science learnathon is a workshop where participants divide in 3 groups: prepare data, train and test the model, deploy the model.
This is the group to train the model.

Solution to the 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

External resources

• KNIME Cheat Sheets - KNIME.com
• From Modeling to Scoring: Confusion Matrix and Class Statistics - KNIME Blog
• KNIME Learning Center - KNIME.com
• Import Existing Models - KNIME Blog