ppose that we would like to select between two prediction models, M₁ and M₂. We have performed rounds of 10-fold cross validation on each model, where the same data partitioning in round i is ed for both M₁ and M₂. The error rates obtained for M₁ are 30.5, 32.2, 20.7, 20.6, 31.0, 41.0, 27.7, 0, 21.5, 26.0. The error rates for M₂ are 22.4, 14.5, 22.4, 19.6, 20.7, 20.4, 22.1, 19.4, 16.2, 35.0. omment on whether one model is significantly better than the other considering a significance level 1%.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Suppose that we would like to select between two prediction models, M₁ and M₂. We have performed
10 rounds of 10-fold cross validation on each model, where the same data partitioning in round i is
used for both M₁ and M₂. The error rates obtained for M₁ are 30.5, 32.2, 20.7, 20.6, 31.0, 41.0, 27.7,
26.0, 21.5, 26.0. The error rates for M₂ are 22.4, 14.5, 22.4, 19.6, 20.7, 20.4, 22.1, 19.4, 16.2, 35.0.
Comment on whether one model is significantly better than the other considering a significance level
of 1%.
Transcribed Image Text:Suppose that we would like to select between two prediction models, M₁ and M₂. We have performed 10 rounds of 10-fold cross validation on each model, where the same data partitioning in round i is used for both M₁ and M₂. The error rates obtained for M₁ are 30.5, 32.2, 20.7, 20.6, 31.0, 41.0, 27.7, 26.0, 21.5, 26.0. The error rates for M₂ are 22.4, 14.5, 22.4, 19.6, 20.7, 20.4, 22.1, 19.4, 16.2, 35.0. Comment on whether one model is significantly better than the other considering a significance level of 1%.
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