HYBRIDIZATION OF THE NAIVE BAYES CLASSIFICATION METHOD IN THE FRESHWATER FISH SEED SELLER CLASSIFICATION MODEL

Freshwater fish seed sellers play several roles in the supply chain process freshwater farming business. The role of seller seeds this is to distribute which are one upstream sources process. cultivators must select competent so can run well. A large number market remind choose quality terms quality, low prices, shipping that reach many areas, ergonomic packaging, and others. This study proposes Hybrid Naïve Bayes Classifiers (HNBCs) as a machine learning method for classification. aimed compare classification appropriate pattern was identified by hybridization (NBCs), then researchers conducted performance appraisal evaluation. results beneficial will enable them formulate their plans according predicted results. proposed has produced significant achieving training data accuracy 82.61% testing 73.91%.