brunobro / classification-of-tropical-forage-grass-using-na-ve-bayes-and-kernel-density-estimation Goto Github PK
View Code? Open in Web Editor NEWThis work presents a machine learning methodology to obtain classification models for nine forage cultivars, subject to moderate and severe water stress. The Naïve Bayes algorithm is used together with the Kernel Density Estimation method to obtain the densities used in the classification models.
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