out.txt

C=5, rbf svm
89.25
83.8333333333
c=5, rbf svm, gamma=0.005
89.0833333333
83.1666666667
C=0.001 linear svm
87.75
81.1666666667
C=5 poly 3rd deg svm
80.8333333333
73.3333333333
C=5 poly many degrees max at 1 svm
86.3333333333
79.1666666667
knn n=30
83.9166666667
n=10
79.6666666667
rf n=60
83.8333333333
76.1666666667
ada
66.3333333333
53.0833333333


SVM RBF


Male
Accuracy avg : 89.0833333333
Recall avg : 89.0833333333
Precision avg : 90.9229717042
F1 avg : 89.068171441
Female
Accuracy avg : 83.1666666667
Recall avg : 83.1666666667
Precision avg : 86.2259401818
F1 avg : 82.4134298578
Normalized male confusion matrix
[[134  13   0   1   0   1   1   0]
 [  6 131   0   2   0   0   9   2]
 [  2   0 145   0   0   3   0   0]
 [  3   4   1 126   1   2  11   2]
 [  0   0   1   2 132  15   0   0]
 [  0   3   7   2   0 138   0   0]
 [  0  16   0   5   0   2 122   5]
 [  1   4   1   0   0   0   3 141]]
Normalized female confusion matrix
[[139   0   0   2   0   0   2   7]
 [  0 131   7   0  10   0   1   1]
 [  0   5 126   0   3  10   5   1]
 [ 10   3   0 106   0  10  16   5]
 [  0   4   2   0 144   0   0   0]
 [  1   1  14   4   1 120   9   0]
 [  3   1   1   6   0   8 107  24]
 [  1   0   0   5   0   0  19 125]]
for male
		recall	precision	f1
anger		0.89	0.93	0.90
disgust		0.87	0.81	0.83
fear		0.97	0.95	0.95
happy		0.84	0.93	0.87
neutral		0.88	0.99	0.93
sadness		0.92	0.87	0.89
sarcastic	0.81	0.85	0.82
surprise	0.94	0.95	0.94
for female
anger		0.93	0.92	0.92
disgust		0.87	0.93	0.88
fear		0.84	0.88	0.84
happy		0.71	0.90	0.76
neutral		0.96	0.93	0.94
sadness		0.80	0.84	0.79
sarcastic	0.71	0.71	0.68
surprise	0.83	0.79	0.79


SVM linear

Male
Accuracy avg : 87.75
Recall avg : 87.75
Precision avg : 89.5593226218
F1 avg : 87.7981593723
Female
Accuracy avg : 81.1666666667
Recall avg : 81.1666666667
Precision avg : 83.7375656751
F1 avg : 80.4610499027
Normalized male confusion matrix
[[132  13   0   3   1   0   1   0]
 [  7 136   0   2   0   0   4   1]
 [  1   0 140   1   1   7   0   0]
 [  3   3   1 124   4   4  10   1]
 [  0   0   0   5 130  15   0   0]
 [  0   2   6   4   0 138   0   0]
 [  2  15   0  11   0   0 116   6]
 [  4   6   0   0   0   0   3 137]]
Normalized female confusion matrix
[[137   1   1   5   0   0   1   5]
 [  1 130   8   1   9   0   0   1]
 [  1   6 126   1   2  10   3   1]
 [  6   3   1 104   0  16  18   2]
 [  0   8   3   0 139   0   0   0]
 [  2   4  13   4   0 115  12   0]
 [  3   1   3   9   1  10 101  22]
 [  4   0   0   6   0   0  18 122]]
for male
		recall	precision	f1
anger		0.88	0.90	0.88
disgust		0.91	0.82	0.85
fear		0.93	0.96	0.94
happy		0.83	0.84	0.83
neutral		0.87	0.97	0.91
sadness		0.92	0.85	0.88
sarcastic	0.77	0.88	0.81
surprise	0.91	0.95	0.92
for female
anger		0.91	0.91	0.90
disgust		0.87	0.89	0.86
fear		0.84	0.84	0.83
happy		0.69	0.80	0.71
neutral		0.93	0.94	0.92
sadness		0.77	0.80	0.74
sarcastic	0.67	0.71	0.66
surprise	0.81	0.82	0.80

SVM POLY

Male
Accuracy avg : 80.8333333333
Recall avg : 80.8333333333
Precision avg : 87.2781804653
F1 avg : 81.0039793509
Female
Accuracy avg : 73.3333333333
Recall avg : 73.3333333333
Precision avg : 82.0982738509
F1 avg : 73.0588752718
Normalized male confusion matrix
[[110  28   0   2   0   8   2   0]
 [  1 138   0   1   0   3   6   1]
 [  0   4 118   0   0  27   0   1]
 [  0  15   1 108   0  15  11   0]
 [  0   0   0   3 122  21   4   0]
 [  0   2   0   1   0 147   0   0]
 [  0  36   0   4   0   4 104   2]
 [  4  14   0   0   0   6   3 123]]
Normalized female confusion matrix
[[ 98   4   0  17   0   1  24   6]
 [  0 129   3   0   5   4   9   0]
 [  0  12  96   0   2  22  17   1]
 [  2   1   0  94   0  11  40   2]
 [  0  18   1   1 125   0   5   0]
 [  0   4   7   1   0 122  16   0]
 [  0   1   0   5   0   5 127  12]
 [  0   1   0   5   0   0  55  89]]
for male
		recall	precision	f1
anger		0.73	0.96	0.82
disgust		0.92	0.63	0.73
fear		0.79	0.99	0.87
happy		0.72	0.93	0.79
neutral		0.81	1.00	0.89
sadness		0.98	0.67	0.79
sarcastic	0.69	0.83	0.71
surprise	0.82	0.97	0.88
for female
anger		0.65	0.99	0.76
disgust		0.86	0.81	0.82
fear		0.64	0.90	0.73
happy		0.63	0.84	0.67
neutral		0.83	0.97	0.88
sadness		0.81	0.78	0.75
sarcastic	0.85	0.45	0.58
surprise	0.59	0.84	0.65

KNN

Male
Accuracy avg : 82.75
Recall avg : 82.75
Precision avg : 85.8998559132
F1 avg : 82.7462002996
Female
Accuracy avg : 75.3333333333
Recall avg : 75.3333333333
Precision avg : 79.0512800359
F1 avg : 74.4465490703
Male confusion matrix
[[115  20   0   7   0   7   1   0]
 [  5 130   0   3   1   1   8   2]
 [  1   2 136   0   0  10   0   1]
 [  2  10   2 108   1  15  11   1]
 [  0   0   0   2 133  15   0   0]
 [  0   3   6   4   2 135   0   0]
 [  1  32   0   4   2   3 103   5]
 [  5   5   2   1   0   2   2 133]]
Female confusion matrix
[[110   2   1  20   0   2  12   3]
 [  0 137   6   0   4   1   0   2]
 [  0  20  93   1   1  27   8   0]
 [  4   3   1 107   1  12  18   4]
 [  0   5   3   0 141   1   0   0]
 [  0   5   9   4   1 123   8   0]
 [  7   2   2  13   0  18  82  26]
 [  8   0   0   4   0   2  25 111]]
for male
		recall	precision	f1
anger		0.77	0.90	0.82
disgust		0.87	0.70	0.75
fear		0.91	0.94	0.92
happy		0.72	0.87	0.77
neutral		0.89	0.96	0.92
sadness		0.90	0.75	0.81
sarcastic	0.69	0.82	0.73
surprise	0.89	0.95	0.91
for female
anger		0.73	0.87	0.78
disgust		0.91	0.82	0.85
fear		0.62	0.83	0.69
happy		0.71	0.77	0.70
neutral		0.94	0.96	0.95
sadness		0.82	0.69	0.72
sarcastic	0.55	0.60	0.53
surprise	0.74	0.79	0.73


RF

Male
Accuracy avg : 83.4166666667
Recall avg : 83.4166666667
Precision avg : 86.9869081997
F1 avg : 83.4670981548
Female
Accuracy avg : 75.25
Recall avg : 75.25
Precision avg : 79.4084629967
F1 avg : 74.1419021786
Male confusion matrix
[[124  17   2   2   1   0   4   0]
 [  6 124   3   2   0   2   9   4]
 [  1   5 137   0   1   5   1   0]
 [  5  10   5 114   1   5   7   3]
 [  0   0   0   3 133  13   1   0]
 [  1   2   8  12   0 127   0   0]
 [  1  24   0   7   1   7 105   5]
 [  2   6   3   0   0   0   2 137]]
Female confusion matrix
[[116   3   2   7   0   1   4  17]
 [  0 125   6   2  12   1   0   4]
 [  0  10 107   0   7  20   5   1]
 [ 10   9   0 102   2  11  14   2]
 [  0   7   1   0 142   0   0   0]
 [  2   8  13   7   3 109   7   1]
 [  3   1   3  14   1  13  77  38]
 [  4   0   0   7   0   2  12 125]]
for male
		recall	precision	f1
anger		0.83	0.91	0.85
disgust		0.83	0.72	0.75
fear		0.91	0.88	0.89
happy		0.76	0.86	0.79
neutral		0.89	0.98	0.93
sadness		0.85	0.83	0.82
sarcastic	0.70	0.85	0.74
surprise	0.91	0.93	0.91
for female
anger		0.77	0.90	0.80
disgust		0.83	0.82	0.80
fear		0.71	0.84	0.76
happy		0.68	0.75	0.68
neutral		0.95	0.89	0.91
sadness		0.73	0.73	0.69
sarcastic	0.51	0.71	0.56
surprise	0.83	0.71	0.74

ADA

Male
Accuracy avg : 71.3333333333
Recall avg : 71.3333333333
Precision avg : 77.6474758563
F1 avg : 71.3402586035
Female
Accuracy avg : 59.6666666667
Recall avg : 59.6666666667
Precision avg : 65.5077636788
F1 avg : 59.1845023206
Normalized male confusion matrix
[[112  15   1  13   0   3   4   2]
 [ 15 102   1  16   1   1  13   1]
 [  3  12 107   1   0  23   3   1]
 [  2   8   1 121   1   6  11   0]
 [  1   1   1  15 110  15   7   0]
 [  1   3   8  16   1 119   1   1]
 [  0  25   2  32   3   5  78   5]
 [ 13  14   1   6   0   3   6 107]]
Normalized female confusion matrix
[[ 87   2   7  18   0   3  26   7]
 [  1 118   6   6  10   2   6   1]
 [  1  19  90   4   5  25   6   0]
 [ 21   8   2  74   1   8  33   3]
 [  0  40   2   0 108   0   0   0]
 [  1   8  21   6   3  88  19   4]
 [  8   3   2  22   1   8  76  30]
 [  5   0   0   7   0   1  62  75]]
for male
		recall	precision	f1
anger		0.75	0.78	0.75
disgust		0.68	0.63	0.61
fear		0.71	0.90	0.78
happy		0.81	0.61	0.67
neutral		0.73	0.96	0.82
sadness		0.79	0.73	0.73
sarcastic	0.52	0.67	0.56
surprise	0.71	0.93	0.79
for female
anger		0.58	0.74	0.63
disgust		0.79	0.65	0.69
fear		0.60	0.74	0.64
happy		0.49	0.56	0.50
neutral		0.72	0.91	0.76
sadness		0.59	0.69	0.60
sarcastic	0.51	0.34	0.40
surprise	0.50	0.61	0.52

ANN1: epo:20, h1:100, h2:100

Male
Accuracy avg : 87.0
Recall avg : 87.0
Precision avg : 88.998034373
F1 avg : 86.9526213237
Female
Accuracy avg : 79.0833333333
Recall avg : 79.0833333333
Precision avg : 82.7173655593
F1 avg : 77.9493819288
Male confusion matrix
[[132  14   0   1   0   1   1   1]
 [ 10 124   0   2   0   1   8   5]
 [  3   0 142   0   1   4   0   0]
 [  4   3   4 116   5   4  12   2]
 [  0   0   1   5 132  11   1   0]
 [  1   1   6   5   1 135   0   1]
 [  0  14   0   6   1   2 121   6]
 [  3   3   1   0   0   0   1 142]]
Female confusion matrix
[[130   1   2   7   0   0   2   8]
 [  0 129   8   1  10   1   0   1]
 [  0   8 123   2   3  10   3   1]
 [ 10   3   1 101   0  14  18   3]
 [  1   5   2   0 142   0   0   0]
 [  0   0  19   7   1 112  11   0]
 [  4   2   5  13   1  11  92  22]
 [  3   0   1   7   0   0  19 120]]
for male
    recall  precision   f1
anger   0.88    0.89    0.87
disgust 0.83    0.82    0.81
fear    0.95    0.93    0.94
happy   0.77    0.89    0.82
neutral 0.88    0.95    0.91
sadness 0.90    0.87    0.87
sarcastic   0.81    0.85    0.82
surprise    0.95    0.91    0.93
for female
anger   0.87    0.90    0.87
disgust 0.86    0.91    0.86
fear    0.82    0.79    0.79
happy   0.67    0.82    0.67
neutral 0.95    0.92    0.93
sadness 0.75    0.80    0.73
sarcastic   0.61    0.69    0.60
surprise    0.80    0.78    0.79

mlpc, 100 epochs, 100 hidden neurons

Male
Accuracy avg : 87.0
Recall avg : 87.0
Precision avg : 89.3697182447
F1 avg : 86.9963345301
Female
Accuracy avg : 81.1666666667
Recall avg : 81.1666666667
Precision avg : 84.2573509687
F1 avg : 80.3127556099
Male confusion matrix
[[131  13   0   1   1   1   1   2]
 [ 11 121   2   3   1   2   7   3]
 [  1   0 143   0   2   4   0   0]
 [  5   2   4 118   6   1  12   2]
 [  0   0   2   3 134  11   0   0]
 [  1   1   8   3   1 135   0   1]
 [  0  17   0   4   0   2 121   6]
 [  2   4   2   0   0   0   1 141]]
Female confusion matrix
[[135   1   2   5   0   0   3   4]
 [  0 132   6   0  10   0   1   1]
 [  2   5 126   1   3   7   5   1]
 [  9   1   1 103   0  13  19   4]
 [  1   5   1   0 143   0   0   0]
 [  0   0  10   4   1 122  13   0]
 [  2   1   2  13   1  13  92  26]
 [  2   0   1   6   0   0  20 121]]
for male
	recall	precision	f1
anger	0.87	0.89	0.87
disgust	0.81	0.83	0.79
fear	0.95	0.91	0.92
happy	0.79	0.92	0.84
neutral	0.89	0.93	0.91
sadness	0.90	0.88	0.88
sarcastic	0.81	0.87	0.82
surprise	0.94	0.91	0.92
for female
anger	0.90	0.92	0.90
disgust	0.88	0.93	0.89
fear	0.84	0.86	0.84
happy	0.69	0.83	0.70
neutral	0.95	0.92	0.93
sadness	0.81	0.83	0.79
sarcastic	0.61	0.66	0.59
surprise	0.81	0.79	0.78

ann, 2 layers, 100 each, 50 epocycles

Accuracy avg : 87.3333333333
Recall avg : 87.3333333333
Precision avg : 89.3495574844
F1 avg : 87.3029174914
Female
Accuracy avg : 78.8333333333
Recall avg : 78.8333333333
Precision avg : 82.7977946868
F1 avg : 77.8311276368
Male confusion matrix
[[131  14   0   1   1   1   1   1]
 [ 11 127   1   4   0   1   5   1]
 [  1   0 141   0   3   5   0   0]
 [  4   2   3 120   4   5  11   1]
 [  0   0   2   3 133  12   0   0]
 [  1   1   6   5   1 135   0   1]
 [  0  17   0   4   0   2 120   7]
 [  2   2   2   0   0   0   3 141]]
Female confusion matrix
[[127   0   2   7   0   0   1  13]
 [  0 128   8   1  11   1   0   1]
 [  6  11 116   1   3  10   3   0]
 [  9   1   1 107   0  14  16   2]
 [  1   6   2   0 141   0   0   0]
 [  0   0  13   6   2 118  11   0]
 [  3   1   5  14   1  10  93  23]
 [  4   2   3   7   0   0  18 116]]
for male
	recall	precision	f1
anger	0.87	0.90	0.87
disgust	0.85	0.82	0.81
fear	0.94	0.92	0.93
happy	0.80	0.91	0.84
neutral	0.89	0.95	0.91
sadness	0.90	0.86	0.87
sarcastic	0.80	0.87	0.82
surprise	0.94	0.93	0.93
for female
anger	0.85	0.89	0.84
disgust	0.85	0.90	0.85
fear	0.77	0.83	0.77
happy	0.71	0.79	0.71
neutral	0.94	0.92	0.92
sadness	0.79	0.81	0.76
sarcastic	0.62	0.71	0.61
surprise	0.77	0.77	0.76

ANN, in-20-20-out 50 epochs 

Male
Accuracy avg : 86.75
Recall avg : 86.75
Precision avg : 88.6398763274
F1 avg : 86.7484615531
Female
Accuracy avg : 74.9166666667
Recall avg : 74.9166666667
Precision avg : 78.8784933175
F1 avg : 73.8185642014
Male confusion matrix
[[131  13   1   0   0   1   3   1]
 [ 10 127   1   1   0   1  10   0]
 [  1   0 138   0   1   9   1   0]
 [  4   3   3 117   6   5  11   1]
 [  0   1   3   2 133  11   0   0]
 [  1   1   8   4   4 131   0   1]
 [  0  16   0   3   0   0 124   7]
 [  2   2   2   0   0   0   4 140]]
Female confusion matrix
[[118   5   5   6   0   0   3  13]
 [  0 125  13   1   8   0   0   3]
 [  5  14 108   1   4  14   4   0]
 [  7   1   1  98   1  15  21   6]
 [  2   8   0   0 140   0   0   0]
 [  0   1  14   4   2 115  14   0]
 [  4   1   4  18   3  14  86  20]
 [  6   3   2  10   1   0  19 109]]
for male
	recall	precision	f1
anger	0.87	0.90	0.87
disgust	0.85	0.83	0.81
fear	0.92	0.90	0.90
happy	0.78	0.93	0.84
neutral	0.89	0.93	0.91
sadness	0.87	0.84	0.85
sarcastic	0.83	0.82	0.81
surprise	0.93	0.94	0.93
for female
anger	0.79	0.88	0.80
disgust	0.83	0.83	0.81
fear	0.72	0.79	0.73
happy	0.65	0.77	0.66
neutral	0.93	0.91	0.91
sadness	0.77	0.78	0.73
sarcastic	0.57	0.60	0.55
surprise	0.73	0.76	0.72

SVM RBF on training by grouping:
Male
Precision avg : 84.8416522257
Female
Precision avg : 84.053443268
['anger', 'disgust', 'fear', 'happy', 'neutral', 'sadness', 'sarcastic', 'surprise']
Normalized male confusion matrix
[[117  28   0   3   0   0   2   0]
 [ 10 128   0   1   0   0  10   1]
 [  3   0 135   2   1   9   0   0]
 [  5   2   1 121   3   4  13   1]
 [  0   0   2   4 131  13   0   0]
 [  1   2   7   4   0 136   0   0]
 [  0  21   0   9   1   1 105  13]
 [  2   6   0   1   0   0   0 141]]
Normalized female confusion matrix
[[140   1   1   2   0   0   3   3]
 [  1 136   5   2   4   1   0   1]
 [  0  10 120   1   3  12   3   1]
 [  7   3   0 115   0   4  20   1]
 [  0   6   2   0 142   0   0   0]
 [  0   2  15   4   0 120   9   0]
 [  3   1   7   9   0   7  96  27]
 [  3   0   0   3   0   0  22 122]]
for male
	recall	precision	f1
anger	0.78	0.78	0.77
disgust	0.85	0.77	0.78
fear	0.90	0.94	0.91
happy	0.81	0.85	0.82
neutral	0.87	0.87	0.87
sadness	0.91	0.88	0.88
sarcastic	0.70	0.78	0.73
surprise	0.94	0.92	0.92
for female
anger	0.93	0.91	0.92
disgust	0.91	0.87	0.88
fear	0.80	0.82	0.78
happy	0.77	0.86	0.79
neutral	0.95	0.96	0.95
sadness	0.80	0.84	0.82
sarcastic	0.64	0.64	0.63
surprise	0.81	0.81	0.80