= Information gain ratio
{wiki=Information_gain_ratio}
Information Gain Ratio (IGR) is a metric used in decision tree algorithms, such as the C4.5 algorithm, for feature selection. It measures the effectiveness of an attribute in classifying the dataset. Here's how it works: \#\#\# Information Gain To understand Information Gain Ratio, it's essential first to grasp the concept of Information Gain (IG). Information Gain quantifies the reduction in entropy or uncertainty in a dataset after splitting it based on a particular attribute.
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