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Activity Number: 253 - Contributed Poster Presentations: Section on Statistical Computing
Type: Contributed
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #327057
Title: Stratified Over Representative K-Folds Cross-Validation
Author(s): William Franz Lamberti*
Companies: George Mason University
Keywords: cross-validation; k-folds; over representative; stratification; resampling methods; strata

A method for handling small sample cases using variation of stratified k-folds cross-validation is presented. The key difference between traditional stratified k-folds cross-validation and the sampling approach presented here is over representing the smaller strata. An intuitive explanation is provided alongside simulations using synthetic data and the famous Fisher or Anderson iris data set. Both simulations show that the proposed method typically provides a smaller residual sum of squares.

Authors who are presenting talks have a * after their name.

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