Table 3.
Average AUC and number of logical rules according to chi-square test for Sfull and S30 databases.
| Methods |
Sfull AUC (#logical rules) |
S30 AUC (#logical rules) |
||||
|---|---|---|---|---|---|---|
| no chi-square | δ = 0.05 | δ = 0.25 | no chi-square | δ = 0.5 | δ = 0.25 | |
| ILP-SVM-Seq | 0.79 (228.59) | 0.79 (89.15) | 0.75 (59.30) | 0.77 (311.09) | 0.77 (91.04) | 0.70 (26.4) |
| ILP-SVM-Alncons | 0.81 (44.91) | 0.81 (34.98) | 0.77 (12.76) | 0.81 (56.72) | 0.80 (36.44) | 0.72 (13.16) |
| ILP-SVM-Alnps | 0.80 (191.65) | 0.79 (139.61) | 0.75 (66.15) | 0.81 (241.96) | 0.81 (178.72) | 0.73 (71) |
| ILP-SVM-Seq-Alncons | 0.85 (311.09) | 0.83 (144.07) | 0.79 (35.8) | 0.80 (381.12) | 0.80 (178.56) | 0.74 (49.96) |
| ILP-SVM-Alncons-Alnps | 0.82 (236.56) | 0.82 (174.59) | 0.79 (46.04) | 0.82 (283.12) | 0.82 (209.76) | 0.80 (57.28) |
| ILP-SVM-Seq-Alncons-Alnps | 0.87 (502.74) | 0.85 (283.69) | 0.81 (74.3) | 0.82 (623.56) | 0.82 (357.28) | 0.79 (90.96) |
| ILP-DT-Seq | 0.67 (228.59) | 0.67 (89.15) | 0.62 (59.30) | 0.65 (311.09) | 0.65 (91.04) | 0.61 (26.4) |
| ILP-DT-Alncons | 0.70 (44.91) | 0.70 (34.98) | 0.72 (12.76) | 0.69 (56.72) | 0.69 (36.44) | 0.65 (13.16) |
| ILP-DT-Alnps | 0.68 (191.65) | 0.68 (139.61) | 0.64 (66.15) | 0.67 (241.96) | 0.67 (178.72) | 0.62 (71) |
| ILP-DT-Seq-Alncons | 0.72 (311.09) | 0.71 (144.07) | 0.67 (35.8) | 0.69 (381.12) | 0.68 (178.56) | 0.63 (49.96) |
| ILP-DT-Alncons-Alnps | 0.71 (236.56) | 0.71 (174.59) | 0.73 (46.04) | 0.71 (283.12) | 0.70 (209.76) | 0.62 (57.28) |
| ILP-DT-Seq-Alncons-Alnps | 0.74 (502.74) | 0.74 (283.69) | 0.69 (74.3) | 0.71 (623.56) | 0.71 (357.28) | 0.63 (90.96) |