| Base learners | |||||||
---|---|---|---|---|---|---|---|---|
C4.5 | NN | SVM | NB | |||||
t | p | t | p | t | p | t | p | |
(a) Segmenting type s = like | ||||||||
 F1 < F1 + F2 | 3.1271 | 0.0038 | 3.9988 | 0.0004 | 8.3702 | 0.0000 | 3.6306 | 0.0010 |
 F1 + F2 < F1 + F2 + F3 | 0.0266 | 0.9790 | −2.7879 | 0.0093 | 0.0410 | 0.9676 | 0.0000 | 1.0000 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 5.9653 | 0.0000 | 11.9349 | 0.0000 | 9.8836 | 0.0000 | 28.3710 | 0.0000 |
(b) Segmenting type s = dislike | ||||||||
 F1 < F1 + F2 | 1.1035 | 0.2744 | 0.7982 | 0.4280 | 2.3112 | 0.0245 | −11.0785 | 0.0000 |
 F1 + F2 < F1 + F2 + F3 | 0.0000 | 1.0000 | 0.0369 | 0.9707 | 0.0000 | 1.0000 | 0.0000 | 1.0000 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 3.2182 | 0.0021 | 4.8950 | 0.0000 | 5.7765 | 0.0000 | 16.0591 | 0.0000 |
(c) Segmenting type s = sum | ||||||||
 F1 < F1 + F2 | −0.5602 | 0.5775 | 1.7311 | 0.0888 | 5.8095 | 0.0000 | −1.1181 | 0.2684 |
 F1 + F2 < F1 + F2 + F3 | −0.0182 | 0.9855 | 0.0488 | 0.9612 | −0.0824 | 0.9346 | 0.0000 | 1.0000 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | −9.4704 | 0.0000 | −9.2471 | 0.0000 | −0.5146 | 0.6088 | −2.9386 | 0.0058 |
(d) Segmenting type s = portfolio | ||||||||
 F1 < F1 + F2 | 3.1271 | 0.0038 | 3.9988 | 0.0004 | 8.3702 | 0.0000 | 3.6306 | 0.0010 |
 F1 + F2 < F1 + F2 + F3 | 0.0266 | 0.9790 | −2.7879 | 0.0093 | 0.0410 | 0.9676 | 0.0000 | 1.0000 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 5.9653 | 0.0000 | 11.9349 | 0.0000 | 9.8836 | 0.0000 | 28.3710 | 0.0000 |
 | Ensemble learning methods | |||||||
---|---|---|---|---|---|---|---|---|
RS-C4.5 | RS-NN | RS-SVM | RS-NB | |||||
t | p | t | p | t | p | t | p | |
(a) Segmenting type s = like | ||||||||
 F1 < F1 + F2 | 11.8420 | 0.0000 | 11.7699 | 0.0000 | 18.7674 | 0.0000 | 17.8236 | 0.0000 |
 F1 + F2 < F1 + F2 + F3 | 0.9752 | 0.3370 | 0.4320 | 0.6687 | −3.4808 | 0.0015 | 0.3547 | 0.7252 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 7.2221 | 0.0000 | 27.5745 | 0.0000 | 30.4662 | 0.0000 | 25.8677 | 0.0000 |
(b) Segmenting type s = dislike | ||||||||
 F1 < F1 + F2 | 2.3273 | 0.0235 | 3.6135 | 0.0006 | 3.8520 | 0.0003 | 7.6427 | 0.0000 |
 F1 + F2 < F1 + F2 + F3 | −0.0326 | 0.9741 | 0.4753 | 0.6363 | 0.0316 | 0.9749 | 0.0000 | 1.0000 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 5.1154 | 0.0000 | 5.9364 | 0.0000 | 6.7400 | 0.0000 | 12.4236 | 0.0000 |
(c) Segmenting type s = sum | ||||||||
 F1 < F1 + F2 | 5.7001 | 0.0000 | −4.7825 | 0.0000 | 9.0012 | 0.0000 | 27.3577 | 0.0000 |
 F1 + F2 < F1 + F2 + F3 | −0.8536 | 0.3970 | 0.2574 | 0.7978 | 0.2793 | 0.7810 | 0.0000 | 1.0000 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 1.1808 | 0.2426 | −15.1418 | 0.0000 | 9.2964 | 0.0000 | 20.1199 | 0.0000 |
(d) Segmenting type s = portfolio | ||||||||
 F1 < F1 + F2 | 11.8420 | 0.0000 | 11.7699 | 0.0000 | 18.7674 | 0.0000 | 17.8236 | 0.0000 |
 F1 + F2 < F1 + F2 + F3 | 0.9752 | 0.3370 | 0.4320 | 0.6687 | −3.4808 | 0.0015 | 0.3547 | 0.7252 |
 F1 + F2 + F3 < F1 + F2 + F3 + F4 | 7.2221 | 0.0000 | 27.5745 | 0.0000 | 30.4662 | 0.0000 | 25.8677 | 0.0000 |