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Classification and Regression Trees (CART) in python from scratch. - GitH.
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  • The algorithm decides the optimal number of splits in the data.
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    With 1 feature, decision trees (called regression trees when we are predicting a continuous variable) will build something similar to a step-like function, like the one we show below.

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    For me, the tree with depth greater than 6 is very hard to read.

  • Information gain for each level of the tree is calculated recursively.
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  • Later, we will plot deviance against boosting iterations.
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    C4.