Chanin NantasenamatLikit PreeyanonChartchalerm Isarankura-Na-AyudhyaVirapong PrachayasittikulMahidol University2018-05-032018-05-032011-12-01EXCLI Journal. Vol.10, (2011), 240-245161121562-s2.0-84855803086https://repository.li.mahidol.ac.th/handle/123456789/11223PyBact is a software written in Python for bacterial identification. The code simulates the predefined behavior of bacterial species by generating a simulated data set based on the frequency table of biochemical tests from diagnostic microbiology textbook. The generated data was used for predictive model construction by machine learning approaches and results indicated that the classifiers could accurately predict its respective bacterial class with accuracy in excess of 99 %.Mahidol UniversityAgricultural and Biological SciencesBiochemistry, Genetics and Molecular BiologyPharmacology, Toxicology and PharmaceuticsArticleSCOPUS