Decision trees will now aim at minimizing the impurity in the data. In order to do so appropriately, one needs a measure to quantify impurity. Various measures have been introduced in the literature, and the most popular are:
Entropy:
Gini:
Chi-squared:
Entropy:
Gini:
Chi-squared:
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