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

Predictive AnalyticsMachine LearningParameter OptimizationScoringROC
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Feb 28, 2024 6:25 PM
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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
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Created with KNIME Analytics Platform version 5.2.1
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