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Table 5 Tune Scaled SVM Classifier Outcome of human-emotion data set

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