Confusion matrix of different ML algorithms for the test set.

<p>Confusion matrix of different ML algorithms for the test set.</p>

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Bibliographic Details
Main Author:	Shaik Ahamed Fayaz (19859670) (author)
Other Authors:	Lakshmanan Babu (19859673) (author), Loganathan Paridayal (19859676) (author), Mahalingam Vasantha (533710) (author), Palaniyandi Paramasivam (19859679) (author), Karuppasamy Sundarakumar (19859682) (author), Chinnaiyan Ponnuraja (430196) (author)
Published:	2024
Subjects:	Science Policy Infectious Diseases Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified receiver operating characteristic patient &# 8217 na &# 239 many studies done infectious illness caused machine learning algorithms 909 ), precision 90 %), recall 75 %) among mycobacterium tb bacteria sputum culture conversion 1236 ptb patients multiple ml models predictive ml algorithm predict treatment success sputum culture tb ), treatment success statistical algorithms predictive performance 72 %), 60 %) ml algorithm ptb patients ptb ). tb patients pulmonary tb better algorithm best algorithm ml models world health unseen data treatment period serious threat salient finding physical examination national institute molecular testing methodology may medical history laboratory procedures historical data highest accuracy high performance given treatment dt model decision tree data analysis chest x artificial intelligence 80 %.
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