Table 1: Classification accuracies for hepatitis disease classification problem.

AuthorsMethodClassification accuracy (%)Reference

Weighted 9 NN92.9
Duch and Grudzinski18 NN, stand, manhattan90.2[19]
15 NN, stand, Euclidean89.0

FSM with rotational89.7
Duch et al. FSM without rotational88.5[20]
RBF(tooldiag)79
MLP + BP(tooldiag)77.4

LDA86.4
Naïve Bayes and semi NB86.3
QAD85.8
1-NN85.3
ASR85
Ster and DobnikarFisher discriminant analysis84.5[21]
LVQ83.2
CART(decision tree)82.7
MLP with BP82.1
ASI82.0
LFC81.9

JankowskiIncNET86.0[22]

MLP74.37
Ozyilmaz and YildirimRBF83.75[23]
GRNN80.0

Bascil and TemurtasMLNN with Levenberg Marquardt91.87[24]