BIBA - Performance Measures - Splitting
5 important questions on BIBA - Performance Measures - Splitting
What is recursive partitioning?
- Algorithm examines:
- 1. Each predictor variable
- I.e., X1, X2, …
- 2. All possible split values
- I.e., each value in Xi
How can you decide what the best split is?
What is the gini index and what is the formula?
- The m classes of the response variable by k= 1, 2, …, m
- The proportion of instances that belong to class k as pk
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What is the entropy meassure and what is the formula?
- The m classes of the response variable by k= 1, 2, …, m
- The proportion of instances that belong to class k as pk
What is the combined impurity and what is the formula?![]()
- The combined impurity created by a split is a weighted average of the impurity measures weighted by the number of records in each split
- Gini(1)*(n1/n1+n2) + Gini(2)*(n2/nbackground-colorfont-sizewhite-spacepre-wrap1+nbackground-colorfont-sizewhite-spacepre-wrap2)
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