Ponnuraja, C (2016) Performance accuracy between classifiers in sustain of diseae conversion for clinical trial tuberculosis data: Data mining approach. IOSR Journal of Dental and Medical Sciences, 15 (4). pp. 105-111. ISSN e-ISSN: 2279-0853, p-ISSN: 2279-0861.
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| Affiliation: | ICMR-National Institute for Research in Tuberuclosis |
|---|---|
| Item Type: | Article |
| Uncontrolled Keywords: | C4.5 (J48) tree classifier, ID3, Multilayer Perceptron, naive Bayes, Tuberculosis, WEKA, Data Mining |
| Subjects: | Tuberculosis > Biostatistics |
| Divisions: | Statistics |
| Depositing User: | Dr. Rathinasabapati R |
| Date Deposited: | 14 Oct 2022 07:51 |
| Last Modified: | 14 Oct 2022 07:51 |
| URI: | http://eprints.nirt.res.in/id/eprint/1458 |
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