Capa do artigo Validity, Reliability, And Significance

Validity, Reliability, And Significance

Empirical Methods For Nlp And Data Science

by Michael Hagmann e Stefan Riezler
language: english
Publisher: MORGAN & CLAYPOOL PUBLISHERS, September of 2022 ‧
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Addresses methodological questions that include the problems of validity, reliability, and significance. In the case of machine learning, these correspond to whether a model predicts what it purports to predict, whether its performance is consistent across replications, and whether a performance difference between two models is due to chance.

Validity, Reliability, And Significance

Empirical Methods For Nlp And Data Science

by Michael Hagmann e Stefan Riezler

Property Description
ISBN: 9781636392738
Publisher: MORGAN & CLAYPOOL PUBLISHERS
Release Date: September of 2022
Language: English
Dimensions: 152 x 229 x 20 mm
Cover: Hardcover
Pages: 165
Format: Book
Collection: Synthesis Lectures On Human Language Technologies
Categories: Books in English > Fiction > Linguistics and Philology
EAN: 9781636392738

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