Practising Supervised Learning:
Gradient Boosting Machines

Prof. Dr. Mirco Schoenfeld

It’s your turn

Visual Approach

Create a workflow in KNIME to train
a gradient boosting model on the mouse dataset.

Programmatic Approach

  1. Download the task sheet
  2. Open the task sheet in RStudio
  3. Fill the gaps to train a gradient boosting model

 

Make sure to apply a 80:20 train-test-split to your data.

Also, obtain a confusion matrix and make sense of the output!

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