Table 10 Runtime (s) for all classification techniques
From: Building an associative classifier with multiple minimum supports
Dataset | Non-rule-based | Rule-based | |||||
|---|---|---|---|---|---|---|---|
ANN | SVM | C4.5 | PART | RIPPER | CBA (minsup) | MMSCBA (minsup) | |
BS | 1.30 | 0.04 | 0.01 | 0.01 | 0.02 | 0.42 (0.4) | 1.24 (0.4) |
BC | 1.14 | 0.03 | 0.01 | 0.01 | 0.01 | 5.35 (0.4) | 7.40 (0.4) |
BCW | 24.22 | 0.15 | 0.02 | 0.01 | 0.11 | 6.78 (0.4) | 21.42 (0.4) |
M2 | 0.53 | 0.01 | 0.01 | 0.01 | 0.01 | 0.36 (0.3) | 1.18 (0.3) |
TF | 0.27 | 0.01 | 0.01 | 0.01 | 0.01 | 0.47 (0.3) | 1.87 (0.3) |
WF | 189.09 | 7.39 | 0.03 | 0.28 | 0.55 | 20.90 (0.007) | 195.68 (0.007) |