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. 2014 Apr 21;9(4):e95715. doi: 10.1371/journal.pone.0095715

Table 8. Comparison of classification Improvement (%) for Breast Cancer dataset.

Breast Cancer
Algorithm Normalization Without Outliers Without Outliers Normalized
AdaBoostM1 0.00 3.36 3.36
BayesNet 0.00 2.12 2.13
BFTree −0.08 2.96 2.82
CHAT-OHM 0.52 3.95 2.69
ComplementNaiveBayes N/A 1.36 N/A
ConjunctiveRule 0.00 1.80 1.80
DecisionTable 0.00 1.47 1.48
DMNBtext 24.99 0.50 29.48
IB1 −0.29 3.60 3.60
LWL 0.00 4.27 4.27
MultiBoostAB 0.00 2.52 2.52
MultiScheme 0.00 0.50 0.50
NaiveBayes −0.15 1.67 1.53
NaiveBayesMultinomial N/A 1.92 N/A
RandomForest −0.14 2.08 2.23
RandomTree 0.05 3.01 2.91
RBFNetwork 0.00 2.10 2.10
SMO 0.01 2.63 2.63
Vote 0.00 0.50 0.50
VotedPerceptron 5.79 1.82 8.8