Now that you know the entropies of the root and child nodes, you can calculate the information gain that color provides.

In the prior exercises, you calculated entropy_root, entropy_left and entropy_right. They are available on the console.

Remember that you will take the weighted average of the child node entropies. So, you will need to calculate what proportion of the original observations ended up on the left and right side of the split. Store those in p_left and p_right, respectively.

decison tree split by color

The Importance of Dimensionality Reduction in Data and Model Building

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