NIST · ИТ · 5d0c35782f465abbc4fd
Unreliable evidence in binary classification problems
Binary classification problems include such things as classifying email messages as spam or non-spam and screening for the presence of disease (which can be seen as classifying a subject as disease-positive or disease- negative). Both Bayesian and
NIST · ИТОфициальный источник · 2019-05-07
{
"title_en": "Unreliable evidence in binary classification problems",
"designation": "",
"series": "",
"status": "",
"date": "2019-05-07",
"date_original": "May 7, 2019",
"url": "https://www.nist.gov/publications/unreliable-evidence-binary-classification-problems",
"source": "NIST Publications",
"display_en": "",
"authors_en": "David W. Flater",
"abstract_excerpt_en": "Binary classification problems include such things as classifying email messages as spam or non-spam and screening for the presence of disease (which can be seen as classifying a subject as disease-positive or disease- negative). Both Bayesian and",
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{
"title_en": "Unreliable evidence in binary classification problems",
"designation": "",
"series": "",
"status": "",
"date": "2019-05-07",
"date_original": "May 7, 2019",
"url": "https://www.nist.gov/publications/unreliable-evidence-binary-classification-problems",
"source": "NIST Publications",
"display_en": "",
"authors_en": "David W. Flater",
"abstract_excerpt_en": "Binary classification problems include such things as classifying email messages as spam or non-spam and screening for the presence of disease (which can be seen as classifying a subject as disease-positive or disease- negative). Both Bayesian and"
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