Decision Tree

Decision Tree is a graphical representation that identifies ways to split a data set based on different conditions. It is one of the most widely used and practical methods for supervised learning used for both classification and regression tasks. Decision Tree is a tree-like structure or model of decisions with Read more…


Entropy: It defines the randomness in the data. It helps to find out the root node,intermediate nodes and leaf node to develop the decision tree It is just a metric which measures the impurity. It reaches its minimum (zero) when all cases in the node fall into a single target Read more…

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