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. 2016 Apr 26;5:528. doi: 10.1186/s40064-016-2153-1

Table 9.

Classification accuracy (%) for all classification techniques

Data set Non-rule-based Rule-based
ANN SVM C4.5 PART RIPPER CBA (minsup) MMSCBA (minsup)
BS 97.92 90.24 64.48 77.28 71.84 71.88 (0.02) 71.40 (0.03) 73.32 (0.04) 74.78 (0.02) 74.85 (0.03) 73.92 (0.04)
BC 67.48 68.18 74.83 72.38 71.68 63.29 (0.02) 59.44 (0.03) 63.29 (0.04) 70.40 (0.02) 70.00 (0.03) 69.42 (0.04)
BCW 95.85 95.85 94.42 93.85 94.13 95.71 (0.02) 95.56 (0.03) 94.84 (0.04) 95.32 (0.02) 96.34 (0.03) 95.93 (0.04)
M2 71.99 44.21 47.92 56.02 51.16 56.06 (0.01) 57.67 (0.02) 55.84 (0.03) 64.79 (0.01) 64.76 (0.02) 64.45 (0.03)
TF 76.34 76.20 76.20 76.34 76.20 76.42 (0.01) 76.42 (0.02) 76.42 (0.03) 75.94 (0.01) 75.85 (0.02) 75.85 (0.03)
WF 82.78 85.96 76.5 78.08 75.94 79.98 (0.005) 79.16 (0.006) 77.41 (0.007) 71.07 (0.005) 78.99 (0.006) 83.79 (0.007)