Information gain in decision trees

Summary

Information gain in decision trees is a term^[1]. It draws 237 Wikipedia views per month (term category, ranking #121 of 595).^[2]

Key Facts

• Information gain in decision trees's instance of is recorded as term^[3].
• Information gain in decision trees's subclass of is recorded as information theory^[4].
• Information gain in decision trees's defining formula is recorded as IG(T,a) = H(T) - H(T|a)^[5].
• Information gain in decision trees's defining formula is recorded as IG(T,a) = H(T)-\sum_{v\in vals(a)}\frac{|{\textbf{x}\in T|x_a=v}|}{|T|} \cdot H({\textbf{x}\in T|x_a=v})^[6].
• Information gain in decision trees's BabelNet ID is recorded as 01853070n^[7].
• Information gain in decision trees's Google Knowledge Graph ID is recorded as /g/11f03_vz1l^[8].
• Information gain in decision trees's maintained by WikiProject is recorded as WikiProject Mathematics^[9].

Body

Designation and Status

Information gain in decision trees's instance of is recorded as term^[3].

Why It Matters

Information gain in decision trees draws 237 Wikipedia views per month (term category, ranking #121 of 595).^[2]