Information Gain, Gini Index, Entropy and Gain Ratio in Decision Trees| Analytics Steps
Information Gain, Gini Index, Entropy and Gain Ratio in Decision Trees| Analytics Steps
Decision trees are used for classification tasks where information gain and gini index are indices to measure the goodness of split conditions in it.
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Select the correct order in which a decision tree is built:1. Calculate the Gini impurity after each split2. Decide the best split based on the lowest Gini impurity3. Repeat the complete process until the stopping criterion is reached or the tree has achieved homogeneity in leaves.4. Select an attribute of data and make all possible splits in data5. Repeat the steps for every attribute present in the data
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