Naı¨ve Bayesian classifier, decisio

Naı¨ve Bayesian classifier, decision tree C4.5 algorithm and information gain are used in this paper. The performance of missing-value handling is evaluated by a decision tree C4.5 prediction model and ten-fold cross-validation (Witten and Frank, 2000).

Hasil (Inggris) 1:

Naı ¨ ve Bayesian classifier, decision tree algorithm and 4.5 C information gains are used in this paper. The performance of the missing-value handling is evaluated by a decision tree model and prediction of 4.5 C ten-fold cross-validation (Witten and Frank, 2000).

Hasil (Inggris) 2:

Naive Bayesian classifier, C4.5 decision tree algorithm and information gain are used in this paper. The performance of missing-value handling is evaluated by a C4.5 decision tree prediction models and ten-fold cross-validation (Witten and Frank, 2000).