KOMPARASI ALGORITMA KLASIFIKASI UNTUK MENENTUKAN EVALUASI KINERJA TERBAIK PADA STATUS AKREDITASI

This study aims to compare several classification algorithms such as C4.5, Naïve Bayes, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Support Vector Machine (SVM) and Logistic Regression to find the best performance in the classification of school/madrasah accreditation status in Kalimantan province.