Information Gain & Gini Impurity in Decision Trees: Machine Learning Concept 49.
Information Gain Vs Gini Impurity in Decision Trees: Information Gain and Gini Impurity are two commonly used metrics for selecting the best attribute to split on in decision trees. Both metrics aim to maximize the homogeneity (purity) of the resulting subsets of examples after the split, but they differ in their approach to measuring impurity. Information Gain: Information Gain measures…
Information Gain & Gini Impurity in Decision Trees: Machine Learning Concept 49. Information Gain Vs Gini Impurity in Decision Trees: Information Gain and Gini Impurity are two commonly used metrics for selecting the best attribute to split on in decision trees. Both metrics aim to maximize the homogeneity (purity) of the resulting subsets of examples after the split, but they differ in their approach to measuring impurity. Information Gain: Information Gain measures… deep-learning
Information Gain Gini Impurity Decision Trees Machine Learning Concept 49 Information Gain Vs Gini Impurity Decision Trees Information Gain Gini Impurity two commonly used metric selecting best attribute split decision tree metric aim maximize homogeneity purity resulting subset example split differ approach measuring impurity Information Gain Information Gain measures… deeplearning