Table 4. Clasification accuracy comparison (%) normalized data.

	Dataset
Algorithm	Breast Cancer	Haberman’s Survival	Hepatitis Disease	Liver Disorders
AdaBoostM1	95.05	74.02	89.80	67.72
BayesNet	97.34	71.73	87.68	56.62
BFTree	94.80	72.43	88.92	67.15
CHAT-OHM	95.52	62.45	89.52	58.5
ComplementNaiveBayes	N/A	N/A	N/A	N/A
ConjunctiveRule	91.98	72.97	89.05	56.28
DecisionTable	95.69	71.90	88.46	58.83
DMNBtext	90.00	73.01	88.99	64.17
IB1	95.46	65.58	81.03	63.25
LWL	92.14	71.90	89.95	60.74
MultiBoostAB	94.73	73.28	89.49	64.29
MultiScheme	65.01	73.53	79.38	57.98
NaiveBayes	96.11	74.66	87.36	55.42
NaiveBayesMultinomial	N/A	N/A	N/A	N/A
RandomForest	96.33	67.81	90.54	68.44
RandomTree	94.79	64.96	83.70	62.75
RBFNetwork	96.36	73.75	85.78	64.81
SMO	96.88	73.53	88.70	57.90
Vote	65.01	73.53	79.38	57.98
VotedPerceptron	96.87	75.09	85.03	65.86