![]() In physics and mathematics, entropy referred as the randomness or the impurity in the system. Shannon invented the concept of entropy, which measures the impurity of the input set. Most popular selection measures are Information Gain, Gain Ratio, and Gini Index. In the case of a continuous-valued attribute, split points for branches also need to define. ![]() Best score attribute will be selected as a splitting attribute ( Source). ASM provides a rank to each feature(or attribute) by explaining the given dataset. It is also known as splitting rules because it helps us to determine breakpoints for tuples on a given node.
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