Decision Tree Regression: Avoiding Overfitting in Training Data

[falyusuf]

Homework Statement

Remove the overfitting in the following example.

Relevant Equations

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The decision tree in the following curve is too fine details of the training data and learn from the noise, (overfitting).

Ref: https://scikit-learn.org/stable/aut...lr-auto-examples-tree-plot-tree-regression-py

I tried to remove the overfitting but not sure about the result, can someone confirm my answer? Here's what I got:

 

[scottdave]

From your graph, it appears that you trained to 5 outliers at max=5, vs the 7 outliers in the original graph. What parameter did you adjust?