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%.
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
Section: Chapter Questions
Problem 1PE
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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%.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3c920cc6-a0ab-4c11-bf8d-145f1c7b62f9%2F32518962-5ce8-4235-92e9-3c9a4aa641e4%2Fs968e6_processed.jpeg&w=3840&q=75)
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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