NIST · ИТ · b77ca3ff4a947ea2c3de
Standard Errors and Significance Testing in Data Analysis for Testing Classifiers
The one-classifier and two-classifier significance testing for evaluation and comparison of classifiers are conducted to investigate the statistical significance of differences and provide quantitative information in terms of the significance level, i.e
NIST · ИТОфициальный источник · 2021-07-19
{
"title_en": "Standard Errors and Significance Testing in Data Analysis for Testing Classifiers",
"designation": "",
"series": "",
"status": "",
"date": "2021-07-19",
"date_original": "July 19, 2021",
"url": "https://www.nist.gov/publications/standard-errors-and-significance-testing-data-analysis-testing-classifiers",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jin Chu Wu , Raghu N. Kacker",
"abstract_excerpt_en": "The one-classifier and two-classifier significance testing for evaluation and comparison of classifiers are conducted to investigate the statistical significance of differences and provide quantitative information in terms of the significance level, i.e",
"id": "b77ca3ff4a947ea2c3de",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Standard Errors and Significance Testing in Data Analysis for Testing Classifiers",
"designation": "",
"series": "",
"status": "",
"date": "2021-07-19",
"date_original": "July 19, 2021",
"url": "https://www.nist.gov/publications/standard-errors-and-significance-testing-data-analysis-testing-classifiers",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jin Chu Wu , Raghu N. Kacker",
"abstract_excerpt_en": "The one-classifier and two-classifier significance testing for evaluation and comparison of classifiers are conducted to investigate the statistical significance of differences and provide quantitative information in terms of the significance level, i.e"
}
],
"translation_state": "none"
}