Table 9 Classification accuracy (%) for all classification techniques
From: Building an associative classifier with multiple minimum supports
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) |