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Goals

  • Implement binary decision trees with different early stopping methods.
  • Compare models with different stopping parameters.
  • Visualize the concept of overfitting in decision trees.

Packages used

  • graphlab

Used data set

lending-club-data.gl

Algorithms used :

  • decision trees.
  • Early stopping methods.

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Implementation of decision tree and visualizing over fitting in it

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