Optimal discriminant analysis and classification tree analysis
id:
optimal-discriminant-analysis-and-classification-tree-analysis-245-14835989
title:
Optimal discriminant analysis and classification tree analysis
text:
Optimal Discriminant Analysis (ODA) and the related classification tree analysis (CTA) are exact statistical methods that maximize predictive accuracy. For any specific sample and exploratory or confirmatory hypothesis, optimal discriminant analysis (ODA) identifies the statistical model that yields maximum predictive accuracy, assesses the exact Type I error rate, and evaluates potential cross-generalizability. Optimal discriminant analysis may be applied to > 0 dimensions, with the one-dimensi
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Optimal_discriminant_analysis_and_classification_tree_analysis
date created:
date modified:
2023-08-05T03:11:52Z
main entity:
{"identifier":"Q17104912","url":"https://www.wikidata.org/entity/Q17104912"}
image:
fields total:
13
integrity:
13