From: A multi-feature hybrid classification data mining technique for human-emotion
C | kernel | Case | Method-I | Statistical.Sign P-Value |
---|---|---|---|---|
0.1 | 0.696746 | 0.033947 | 0.011 | |
0.707840 | 0.038778 | 0.009 | ||
0.710059 | 0.036611 | 0.031 | ||
0.669379 | 0.037225 | 0.025 | ||
0.3 | Linear poly rbf sigmoid | 0.696746 | 0.030322 | 0.000 |
0.726331 | 0.035084 | 0.000 | ||
0.737426 | 0.032385 | 0.000 | ||
0.640533 | 0.028286 | 0.000 | ||
0.5 | Linear poly rbf sigmoid | 0.696746 | 0.030322 | 0.017 |
0.727811 | 0.029701 | 0.000 | ||
0.741864 | 0.029337 | 0.001 | ||
0.611686 | 0.029381 | 0.001 | ||
0.7 | Linear poly rbf sigmoid | 0.696006 | 0.029449 | 0.007 |
0.733728 | 0.030033 | 0.009 | ||
0.741124 | 0.028504 | 0.000 | ||
0.610947 | 0.027179 | 0.000 | ||
0.9 | Linear poly rbf sigmoid | 0.696006 | 0.028643 | 0.000 |
0.731509 | 0.033354 | 0.013 | ||
0.741864 | 0.027550 | 0.021 | ||
0.608728 | 0.031313 | 0.000 | ||
1.0 | Linear poly rbf sigmoid | 0.699704 | 0.026675 | 0.013 |
0.730030 | 0.030996 | 0.011 | ||
0.732988 | 0.026132 | 0.000 | ||
0.745562 | 0.030979 | 0.000 | ||
1.5 | Linear poly rbf sigmoid | 0.601331 | 0.029092 | 0.000 |
0.699704 | 0.033734 | 0.007 | ||
0.733728 | 0.032625 | 0.021 | ||
0.745562 | 0.032338 | 0.040 | ||
1.7 | Linear poly rbf sigmoid | 0.598373 | 0.034895 | 0.025 |
0.699704 | 0.026132 | 0.000 | ||
0.735207 | 0.033558 | 0.031 | ||
0.750000 | 0.031968 | 0.000 |