Executing method thinet on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.47
Ratio, Val accuracy: 0.900 89.13
Ratio, Test accuracy: 0.900 88.47
Ratio, Val accuracy: 0.750 89.03
Ratio, Test accuracy: 0.750 88.36
Ratio, Val accuracy: 0.500 88.14
Ratio, Test accuracy: 0.500 87.66
Ratio, Val accuracy: 0.300 69.00
Ratio, Test accuracy: 0.300 68.24
Ratio, Val accuracy: 0.250 62.87
Ratio, Test accuracy: 0.250 62.21
Ratio, Val accuracy: 0.200 57.87
Ratio, Test accuracy: 0.200 57.67
Ratio, Val accuracy: 0.150 51.48
Ratio, Test accuracy: 0.150 50.85
Ratio, Val accuracy: 0.100 38.29
Ratio, Test accuracy: 0.100 37.83
Ratio, Val accuracy: 0.050 20.18
Ratio, Test accuracy: 0.050 19.76
Executing method neural_path_kmeans on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.47
Ratio, Val accuracy: 0.900 89.13
Ratio, Val accuracy: 0.900 89.14
Ratio, Val accuracy: 0.900 89.19
Ratio, Val accuracy: 0.900 89.19
Ratio, Val accuracy: 0.900 89.19
Ratio, Test accuracy: 0.900 88.40
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Test accuracy: 0.750 88.37
Ratio, Val accuracy: 0.500 81.53
Ratio, Val accuracy: 0.500 81.73
Ratio, Val accuracy: 0.500 82.83
Ratio, Val accuracy: 0.500 82.83
Ratio, Val accuracy: 0.500 82.83
Ratio, Test accuracy: 0.500 82.57
Ratio, Val accuracy: 0.300 56.59
Ratio, Val accuracy: 0.300 59.60
Ratio, Val accuracy: 0.300 59.60
Ratio, Val accuracy: 0.300 59.60
Ratio, Val accuracy: 0.300 59.60
Ratio, Test accuracy: 0.300 58.86
Ratio, Val accuracy: 0.250 44.01
Ratio, Val accuracy: 0.250 53.76
Ratio, Val accuracy: 0.250 53.76
Ratio, Val accuracy: 0.250 53.76
Ratio, Val accuracy: 0.250 53.76
Ratio, Test accuracy: 0.250 52.97
Ratio, Val accuracy: 0.200 31.84
Ratio, Val accuracy: 0.200 34.69
Ratio, Val accuracy: 0.200 46.99
Ratio, Val accuracy: 0.200 46.99
Ratio, Val accuracy: 0.200 46.99
Ratio, Test accuracy: 0.200 46.50
Ratio, Val accuracy: 0.150 33.03
Ratio, Val accuracy: 0.150 33.03
Ratio, Val accuracy: 0.150 34.99
Ratio, Val accuracy: 0.150 34.99
Ratio, Val accuracy: 0.150 34.99
Ratio, Test accuracy: 0.150 34.48
Ratio, Val accuracy: 0.100 13.93
Ratio, Val accuracy: 0.100 13.93
Ratio, Val accuracy: 0.100 19.59
Ratio, Val accuracy: 0.100 25.14
Ratio, Val accuracy: 0.100 25.14
Ratio, Test accuracy: 0.100 25.11
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Test accuracy: 0.050 10.00
Executing method random_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.47
Ratio, Val accuracy: 0.900 88.87
Ratio, Val accuracy: 0.900 88.87
Ratio, Val accuracy: 0.900 88.87
Ratio, Val accuracy: 0.900 88.87
Ratio, Val accuracy: 0.900 88.87
Ratio, Test accuracy: 0.900 88.16
Ratio, Val accuracy: 0.750 86.84
Ratio, Val accuracy: 0.750 86.84
Ratio, Val accuracy: 0.750 86.84
Ratio, Val accuracy: 0.750 87.34
Ratio, Val accuracy: 0.750 87.34
Ratio, Test accuracy: 0.750 86.39
Ratio, Val accuracy: 0.500 72.29
Ratio, Val accuracy: 0.500 72.29
Ratio, Val accuracy: 0.500 80.70
Ratio, Val accuracy: 0.500 80.91
Ratio, Val accuracy: 0.500 80.91
Ratio, Test accuracy: 0.500 80.93
Ratio, Val accuracy: 0.300 39.96
Ratio, Val accuracy: 0.300 43.33
Ratio, Val accuracy: 0.300 43.33
Ratio, Val accuracy: 0.300 43.33
Ratio, Val accuracy: 0.300 66.29
Ratio, Test accuracy: 0.300 65.76
Ratio, Val accuracy: 0.250 49.85
Ratio, Val accuracy: 0.250 49.85
Ratio, Val accuracy: 0.250 49.85
Ratio, Val accuracy: 0.250 49.85
Ratio, Val accuracy: 0.250 49.85
Ratio, Test accuracy: 0.250 49.41
Ratio, Val accuracy: 0.200 35.84
Ratio, Val accuracy: 0.200 35.84
Ratio, Val accuracy: 0.200 35.84
Ratio, Val accuracy: 0.200 35.84
Ratio, Val accuracy: 0.200 35.84
Ratio, Test accuracy: 0.200 35.31
Ratio, Val accuracy: 0.150 14.80
Ratio, Val accuracy: 0.150 23.37
Ratio, Val accuracy: 0.150 23.37
Ratio, Val accuracy: 0.150 23.37
Ratio, Val accuracy: 0.150 23.37
Ratio, Test accuracy: 0.150 23.15
Ratio, Val accuracy: 0.100 10.14
Ratio, Val accuracy: 0.100 11.16
Ratio, Val accuracy: 0.100 13.38
Ratio, Val accuracy: 0.100 14.74
Ratio, Val accuracy: 0.100 21.39
Ratio, Test accuracy: 0.100 20.86
Ratio, Val accuracy: 0.050 11.42
Ratio, Val accuracy: 0.050 11.42
Ratio, Val accuracy: 0.050 11.42
Ratio, Val accuracy: 0.050 11.42
Ratio, Val accuracy: 0.050 11.42
Ratio, Test accuracy: 0.050 11.31
Executing method l1_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.47
Ratio, Val accuracy: 0.900 88.36
Ratio, Test accuracy: 0.900 87.64
Ratio, Val accuracy: 0.750 87.23
Ratio, Test accuracy: 0.750 86.52
Ratio, Val accuracy: 0.500 63.28
Ratio, Test accuracy: 0.500 63.07
Ratio, Val accuracy: 0.300 57.46
Ratio, Test accuracy: 0.300 56.55
Ratio, Val accuracy: 0.250 23.87
Ratio, Test accuracy: 0.250 23.31
Ratio, Val accuracy: 0.200 21.03
Ratio, Test accuracy: 0.200 20.28
Ratio, Val accuracy: 0.150 10.33
Ratio, Test accuracy: 0.150 10.31
Ratio, Val accuracy: 0.100 14.68
Ratio, Test accuracy: 0.100 14.72
Ratio, Val accuracy: 0.050 10.04
Ratio, Test accuracy: 0.050 10.00
Executing method thinet on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.63
Ratio, Val accuracy: 0.900 89.40
Ratio, Test accuracy: 0.900 88.63
Ratio, Val accuracy: 0.750 89.39
Ratio, Test accuracy: 0.750 88.73
Ratio, Val accuracy: 0.500 88.72
Ratio, Test accuracy: 0.500 87.78
Ratio, Val accuracy: 0.300 80.93
Ratio, Test accuracy: 0.300 80.74
Ratio, Val accuracy: 0.250 80.34
Ratio, Test accuracy: 0.250 79.80
Ratio, Val accuracy: 0.200 74.67
Ratio, Test accuracy: 0.200 74.58
Ratio, Val accuracy: 0.150 60.80
Ratio, Test accuracy: 0.150 60.88
Ratio, Val accuracy: 0.100 42.07
Ratio, Test accuracy: 0.100 42.14
Ratio, Val accuracy: 0.050 25.96
Ratio, Test accuracy: 0.050 25.77
Executing method neural_path_kmeans on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.63
Ratio, Val accuracy: 0.900 89.40
Ratio, Val accuracy: 0.900 89.40
Ratio, Val accuracy: 0.900 89.40
Ratio, Val accuracy: 0.900 89.40
Ratio, Val accuracy: 0.900 89.40
Ratio, Test accuracy: 0.900 88.63
Ratio, Val accuracy: 0.750 88.86
Ratio, Val accuracy: 0.750 88.96
Ratio, Val accuracy: 0.750 89.04
Ratio, Val accuracy: 0.750 89.06
Ratio, Val accuracy: 0.750 89.32
Ratio, Test accuracy: 0.750 88.63
Ratio, Val accuracy: 0.500 85.89
Ratio, Val accuracy: 0.500 86.37
Ratio, Val accuracy: 0.500 87.18
Ratio, Val accuracy: 0.500 87.18
Ratio, Val accuracy: 0.500 87.18
Ratio, Test accuracy: 0.500 86.49
Ratio, Val accuracy: 0.300 75.96
Ratio, Val accuracy: 0.300 76.11
Ratio, Val accuracy: 0.300 79.02
Ratio, Val accuracy: 0.300 79.02
Ratio, Val accuracy: 0.300 81.04
Ratio, Test accuracy: 0.300 80.97
Ratio, Val accuracy: 0.250 74.05
Ratio, Val accuracy: 0.250 74.05
Ratio, Val accuracy: 0.250 74.05
Ratio, Val accuracy: 0.250 74.05
Ratio, Val accuracy: 0.250 74.05
Ratio, Test accuracy: 0.250 73.20
Ratio, Val accuracy: 0.200 63.28
Ratio, Val accuracy: 0.200 63.28
Ratio, Val accuracy: 0.200 64.57
Ratio, Val accuracy: 0.200 64.91
Ratio, Val accuracy: 0.200 64.91
Ratio, Test accuracy: 0.200 64.09
Ratio, Val accuracy: 0.150 24.57
Ratio, Val accuracy: 0.150 50.13
Ratio, Val accuracy: 0.150 50.13
Ratio, Val accuracy: 0.150 50.13
Ratio, Val accuracy: 0.150 50.13
Ratio, Test accuracy: 0.150 50.08
Ratio, Val accuracy: 0.100 11.60
Ratio, Val accuracy: 0.100 30.69
Ratio, Val accuracy: 0.100 30.69
Ratio, Val accuracy: 0.100 30.69
Ratio, Val accuracy: 0.100 30.69
Ratio, Test accuracy: 0.100 30.43
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 13.83
Ratio, Val accuracy: 0.050 13.83
Ratio, Test accuracy: 0.050 14.03
Executing method random_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.63
Ratio, Val accuracy: 0.900 88.47
Ratio, Val accuracy: 0.900 89.13
Ratio, Val accuracy: 0.900 89.13
Ratio, Val accuracy: 0.900 89.13
Ratio, Val accuracy: 0.900 89.13
Ratio, Test accuracy: 0.900 88.11
Ratio, Val accuracy: 0.750 85.94
Ratio, Val accuracy: 0.750 85.94
Ratio, Val accuracy: 0.750 86.20
Ratio, Val accuracy: 0.750 86.20
Ratio, Val accuracy: 0.750 86.20
Ratio, Test accuracy: 0.750 85.26
Ratio, Val accuracy: 0.500 61.78
Ratio, Val accuracy: 0.500 82.27
Ratio, Val accuracy: 0.500 82.27
Ratio, Val accuracy: 0.500 82.27
Ratio, Val accuracy: 0.500 82.27
Ratio, Test accuracy: 0.500 81.87
Ratio, Val accuracy: 0.300 54.67
Ratio, Val accuracy: 0.300 62.51
Ratio, Val accuracy: 0.300 62.51
Ratio, Val accuracy: 0.300 62.51
Ratio, Val accuracy: 0.300 62.51
Ratio, Test accuracy: 0.300 62.89
Ratio, Val accuracy: 0.250 29.42
Ratio, Val accuracy: 0.250 32.72
Ratio, Val accuracy: 0.250 32.72
Ratio, Val accuracy: 0.250 32.72
Ratio, Val accuracy: 0.250 32.72
Ratio, Test accuracy: 0.250 32.09
Ratio, Val accuracy: 0.200 22.41
Ratio, Val accuracy: 0.200 28.89
Ratio, Val accuracy: 0.200 28.89
Ratio, Val accuracy: 0.200 28.89
Ratio, Val accuracy: 0.200 28.89
Ratio, Test accuracy: 0.200 28.53
Ratio, Val accuracy: 0.150 13.04
Ratio, Val accuracy: 0.150 13.04
Ratio, Val accuracy: 0.150 19.17
Ratio, Val accuracy: 0.150 19.17
Ratio, Val accuracy: 0.150 19.46
Ratio, Test accuracy: 0.150 19.49
Ratio, Val accuracy: 0.100 9.94
Ratio, Val accuracy: 0.100 9.94
Ratio, Val accuracy: 0.100 17.52
Ratio, Val accuracy: 0.100 19.16
Ratio, Val accuracy: 0.100 19.16
Ratio, Test accuracy: 0.100 19.01
Ratio, Val accuracy: 0.050 10.96
Ratio, Val accuracy: 0.050 10.96
Ratio, Val accuracy: 0.050 10.96
Ratio, Val accuracy: 0.050 10.96
Ratio, Val accuracy: 0.050 10.96
Ratio, Test accuracy: 0.050 10.96
Executing method l1_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.63
Ratio, Val accuracy: 0.900 88.44
Ratio, Test accuracy: 0.900 87.96
Ratio, Val accuracy: 0.750 86.20
Ratio, Test accuracy: 0.750 85.27
Ratio, Val accuracy: 0.500 71.41
Ratio, Test accuracy: 0.500 70.55
Ratio, Val accuracy: 0.300 42.92
Ratio, Test accuracy: 0.300 43.07
Ratio, Val accuracy: 0.250 26.49
Ratio, Test accuracy: 0.250 26.48
Ratio, Val accuracy: 0.200 30.69
Ratio, Test accuracy: 0.200 30.18
Ratio, Val accuracy: 0.150 26.81
Ratio, Test accuracy: 0.150 26.68
Ratio, Val accuracy: 0.100 14.30
Ratio, Test accuracy: 0.100 14.59
Ratio, Val accuracy: 0.050 10.01
Ratio, Test accuracy: 0.050 10.00
Executing method thinet on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.44
Ratio, Val accuracy: 0.900 89.21
Ratio, Test accuracy: 0.900 88.44
Ratio, Val accuracy: 0.750 89.24
Ratio, Test accuracy: 0.750 88.52
Ratio, Val accuracy: 0.500 88.79
Ratio, Test accuracy: 0.500 88.41
Ratio, Val accuracy: 0.300 84.79
Ratio, Test accuracy: 0.300 84.80
Ratio, Val accuracy: 0.250 82.91
Ratio, Test accuracy: 0.250 82.21
Ratio, Val accuracy: 0.200 77.48
Ratio, Test accuracy: 0.200 76.70
Ratio, Val accuracy: 0.150 59.87
Ratio, Test accuracy: 0.150 59.55
Ratio, Val accuracy: 0.100 31.58
Ratio, Test accuracy: 0.100 31.95
Ratio, Val accuracy: 0.050 27.93
Ratio, Test accuracy: 0.050 28.05
Executing method neural_path_kmeans on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.44
Ratio, Val accuracy: 0.900 89.21
Ratio, Val accuracy: 0.900 89.21
Ratio, Val accuracy: 0.900 89.21
Ratio, Val accuracy: 0.900 89.21
Ratio, Val accuracy: 0.900 89.21
Ratio, Test accuracy: 0.900 88.44
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Val accuracy: 0.750 89.18
Ratio, Test accuracy: 0.750 88.33
Ratio, Val accuracy: 0.500 84.59
Ratio, Val accuracy: 0.500 85.09
Ratio, Val accuracy: 0.500 85.09
Ratio, Val accuracy: 0.500 85.09
Ratio, Val accuracy: 0.500 85.09
Ratio, Test accuracy: 0.500 84.36
Ratio, Val accuracy: 0.300 63.69
Ratio, Val accuracy: 0.300 64.66
Ratio, Val accuracy: 0.300 65.21
Ratio, Val accuracy: 0.300 65.21
Ratio, Val accuracy: 0.300 70.33
Ratio, Test accuracy: 0.300 69.51
Ratio, Val accuracy: 0.250 59.75
Ratio, Val accuracy: 0.250 61.39
Ratio, Val accuracy: 0.250 61.39
Ratio, Val accuracy: 0.250 62.64
Ratio, Val accuracy: 0.250 62.64
Ratio, Test accuracy: 0.250 62.21
Ratio, Val accuracy: 0.200 50.31
Ratio, Val accuracy: 0.200 55.34
Ratio, Val accuracy: 0.200 55.34
Ratio, Val accuracy: 0.200 55.34
Ratio, Val accuracy: 0.200 55.34
Ratio, Test accuracy: 0.200 54.75
Ratio, Val accuracy: 0.150 34.91
Ratio, Val accuracy: 0.150 37.88
Ratio, Val accuracy: 0.150 39.01
Ratio, Val accuracy: 0.150 39.01
Ratio, Val accuracy: 0.150 47.24
Ratio, Test accuracy: 0.150 46.48
Ratio, Val accuracy: 0.100 18.72
Ratio, Val accuracy: 0.100 18.72
Ratio, Val accuracy: 0.100 18.72
Ratio, Val accuracy: 0.100 18.72
Ratio, Val accuracy: 0.100 18.72
Ratio, Test accuracy: 0.100 18.74
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Test accuracy: 0.050 10.00
Executing method random_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.44
Ratio, Val accuracy: 0.900 88.23
Ratio, Val accuracy: 0.900 88.48
Ratio, Val accuracy: 0.900 88.48
Ratio, Val accuracy: 0.900 88.48
Ratio, Val accuracy: 0.900 88.48
Ratio, Test accuracy: 0.900 87.55
Ratio, Val accuracy: 0.750 81.57
Ratio, Val accuracy: 0.750 85.23
Ratio, Val accuracy: 0.750 86.41
Ratio, Val accuracy: 0.750 86.41
Ratio, Val accuracy: 0.750 86.41
Ratio, Test accuracy: 0.750 85.65
Ratio, Val accuracy: 0.500 72.47
Ratio, Val accuracy: 0.500 72.47
Ratio, Val accuracy: 0.500 72.47
Ratio, Val accuracy: 0.500 75.84
Ratio, Val accuracy: 0.500 75.84
Ratio, Test accuracy: 0.500 76.40
Ratio, Val accuracy: 0.300 59.52
Ratio, Val accuracy: 0.300 59.52
Ratio, Val accuracy: 0.300 59.52
Ratio, Val accuracy: 0.300 59.52
Ratio, Val accuracy: 0.300 59.52
Ratio, Test accuracy: 0.300 59.24
Ratio, Val accuracy: 0.250 40.18
Ratio, Val accuracy: 0.250 40.18
Ratio, Val accuracy: 0.250 40.18
Ratio, Val accuracy: 0.250 40.18
Ratio, Val accuracy: 0.250 40.18
Ratio, Test accuracy: 0.250 39.92
Ratio, Val accuracy: 0.200 31.31
Ratio, Val accuracy: 0.200 31.31
Ratio, Val accuracy: 0.200 31.31
Ratio, Val accuracy: 0.200 31.31
Ratio, Val accuracy: 0.200 31.31
Ratio, Test accuracy: 0.200 31.44
Ratio, Val accuracy: 0.150 17.48
Ratio, Val accuracy: 0.150 17.48
Ratio, Val accuracy: 0.150 17.48
Ratio, Val accuracy: 0.150 17.48
Ratio, Val accuracy: 0.150 17.48
Ratio, Test accuracy: 0.150 17.31
Ratio, Val accuracy: 0.100 10.01
Ratio, Val accuracy: 0.100 19.49
Ratio, Val accuracy: 0.100 19.49
Ratio, Val accuracy: 0.100 19.49
Ratio, Val accuracy: 0.100 19.49
Ratio, Test accuracy: 0.100 19.76
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.47
Ratio, Val accuracy: 0.050 10.47
Ratio, Test accuracy: 0.050 10.44
Executing method l1_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.44
Ratio, Val accuracy: 0.900 88.90
Ratio, Test accuracy: 0.900 87.89
Ratio, Val accuracy: 0.750 85.72
Ratio, Test accuracy: 0.750 85.94
Ratio, Val accuracy: 0.500 75.26
Ratio, Test accuracy: 0.500 74.14
Ratio, Val accuracy: 0.300 54.43
Ratio, Test accuracy: 0.300 54.35
Ratio, Val accuracy: 0.250 34.25
Ratio, Test accuracy: 0.250 33.90
Ratio, Val accuracy: 0.200 31.28
Ratio, Test accuracy: 0.200 31.07
Ratio, Val accuracy: 0.150 28.84
Ratio, Test accuracy: 0.150 28.91
Ratio, Val accuracy: 0.100 10.03
Ratio, Test accuracy: 0.100 10.04
Ratio, Val accuracy: 0.050 10.01
Ratio, Test accuracy: 0.050 10.00
Executing method thinet on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.79
Ratio, Val accuracy: 0.900 89.26
Ratio, Test accuracy: 0.900 88.79
Ratio, Val accuracy: 0.750 89.10
Ratio, Test accuracy: 0.750 88.86
Ratio, Val accuracy: 0.500 88.14
Ratio, Test accuracy: 0.500 87.81
Ratio, Val accuracy: 0.300 79.41
Ratio, Test accuracy: 0.300 79.30
Ratio, Val accuracy: 0.250 71.40
Ratio, Test accuracy: 0.250 71.42
Ratio, Val accuracy: 0.200 68.91
Ratio, Test accuracy: 0.200 68.56
Ratio, Val accuracy: 0.150 64.58
Ratio, Test accuracy: 0.150 64.10
Ratio, Val accuracy: 0.100 31.83
Ratio, Test accuracy: 0.100 31.55
Ratio, Val accuracy: 0.050 19.31
Ratio, Test accuracy: 0.050 18.75
Executing method neural_path_kmeans on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.79
Ratio, Val accuracy: 0.900 89.26
Ratio, Val accuracy: 0.900 89.26
Ratio, Val accuracy: 0.900 89.26
Ratio, Val accuracy: 0.900 89.26
Ratio, Val accuracy: 0.900 89.26
Ratio, Test accuracy: 0.900 88.79
Ratio, Val accuracy: 0.750 89.23
Ratio, Val accuracy: 0.750 89.40
Ratio, Val accuracy: 0.750 89.40
Ratio, Val accuracy: 0.750 89.40
Ratio, Val accuracy: 0.750 89.40
Ratio, Test accuracy: 0.750 88.91
Ratio, Val accuracy: 0.500 86.98
Ratio, Val accuracy: 0.500 87.03
Ratio, Val accuracy: 0.500 87.17
Ratio, Val accuracy: 0.500 87.17
Ratio, Val accuracy: 0.500 87.17
Ratio, Test accuracy: 0.500 86.92
Ratio, Val accuracy: 0.300 69.38
Ratio, Val accuracy: 0.300 69.38
Ratio, Val accuracy: 0.300 72.62
Ratio, Val accuracy: 0.300 73.51
Ratio, Val accuracy: 0.300 73.51
Ratio, Test accuracy: 0.300 72.68
Ratio, Val accuracy: 0.250 67.53
Ratio, Val accuracy: 0.250 67.53
Ratio, Val accuracy: 0.250 67.53
Ratio, Val accuracy: 0.250 67.53
Ratio, Val accuracy: 0.250 67.53
Ratio, Test accuracy: 0.250 67.27
Ratio, Val accuracy: 0.200 50.90
Ratio, Val accuracy: 0.200 50.92
Ratio, Val accuracy: 0.200 51.86
Ratio, Val accuracy: 0.200 59.43
Ratio, Val accuracy: 0.200 59.43
Ratio, Test accuracy: 0.200 58.77
Ratio, Val accuracy: 0.150 44.97
Ratio, Val accuracy: 0.150 44.97
Ratio, Val accuracy: 0.150 44.97
Ratio, Val accuracy: 0.150 44.97
Ratio, Val accuracy: 0.150 46.97
Ratio, Test accuracy: 0.150 46.34
Ratio, Val accuracy: 0.100 30.17
Ratio, Val accuracy: 0.100 30.17
Ratio, Val accuracy: 0.100 30.17
Ratio, Val accuracy: 0.100 30.17
Ratio, Val accuracy: 0.100 30.17
Ratio, Test accuracy: 0.100 30.59
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.27
Ratio, Val accuracy: 0.050 14.17
Ratio, Val accuracy: 0.050 14.17
Ratio, Val accuracy: 0.050 14.17
Ratio, Test accuracy: 0.050 13.95
Executing method random_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.79
Ratio, Val accuracy: 0.900 88.76
Ratio, Val accuracy: 0.900 88.76
Ratio, Val accuracy: 0.900 88.77
Ratio, Val accuracy: 0.900 88.77
Ratio, Val accuracy: 0.900 88.77
Ratio, Test accuracy: 0.900 88.43
Ratio, Val accuracy: 0.750 86.45
Ratio, Val accuracy: 0.750 86.45
Ratio, Val accuracy: 0.750 86.92
Ratio, Val accuracy: 0.750 86.92
Ratio, Val accuracy: 0.750 87.06
Ratio, Test accuracy: 0.750 86.47
Ratio, Val accuracy: 0.500 77.62
Ratio, Val accuracy: 0.500 77.62
Ratio, Val accuracy: 0.500 77.62
Ratio, Val accuracy: 0.500 77.62
Ratio, Val accuracy: 0.500 77.62
Ratio, Test accuracy: 0.500 77.36
Ratio, Val accuracy: 0.300 36.88
Ratio, Val accuracy: 0.300 44.93
Ratio, Val accuracy: 0.300 44.93
Ratio, Val accuracy: 0.300 44.93
Ratio, Val accuracy: 0.300 44.93
Ratio, Test accuracy: 0.300 44.51
Ratio, Val accuracy: 0.250 30.94
Ratio, Val accuracy: 0.250 42.87
Ratio, Val accuracy: 0.250 42.87
Ratio, Val accuracy: 0.250 42.87
Ratio, Val accuracy: 0.250 42.87
Ratio, Test accuracy: 0.250 44.05
Ratio, Val accuracy: 0.200 22.37
Ratio, Val accuracy: 0.200 25.79
Ratio, Val accuracy: 0.200 29.31
Ratio, Val accuracy: 0.200 29.31
Ratio, Val accuracy: 0.200 29.31
Ratio, Test accuracy: 0.200 29.77
Ratio, Val accuracy: 0.150 17.38
Ratio, Val accuracy: 0.150 25.66
Ratio, Val accuracy: 0.150 25.66
Ratio, Val accuracy: 0.150 25.66
Ratio, Val accuracy: 0.150 25.66
Ratio, Test accuracy: 0.150 25.84
Ratio, Val accuracy: 0.100 15.81
Ratio, Val accuracy: 0.100 15.81
Ratio, Val accuracy: 0.100 15.81
Ratio, Val accuracy: 0.100 15.81
Ratio, Val accuracy: 0.100 15.81
Ratio, Test accuracy: 0.100 15.36
Ratio, Val accuracy: 0.050 10.49
Ratio, Val accuracy: 0.050 10.49
Ratio, Val accuracy: 0.050 11.33
Ratio, Val accuracy: 0.050 11.33
Ratio, Val accuracy: 0.050 11.33
Ratio, Test accuracy: 0.050 11.22
Executing method l1_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.79
Ratio, Val accuracy: 0.900 87.32
Ratio, Test accuracy: 0.900 87.10
Ratio, Val accuracy: 0.750 85.59
Ratio, Test accuracy: 0.750 85.18
Ratio, Val accuracy: 0.500 78.32
Ratio, Test accuracy: 0.500 77.56
Ratio, Val accuracy: 0.300 44.51
Ratio, Test accuracy: 0.300 44.39
Ratio, Val accuracy: 0.250 32.53
Ratio, Test accuracy: 0.250 31.84
Ratio, Val accuracy: 0.200 40.72
Ratio, Test accuracy: 0.200 40.70
Ratio, Val accuracy: 0.150 26.76
Ratio, Test accuracy: 0.150 26.63
Ratio, Val accuracy: 0.100 9.84
Ratio, Test accuracy: 0.100 9.69
Ratio, Val accuracy: 0.050 14.22
Ratio, Test accuracy: 0.050 14.34
Executing method thinet on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.01
Ratio, Val accuracy: 0.900 89.79
Ratio, Test accuracy: 0.900 89.01
Ratio, Val accuracy: 0.750 89.74
Ratio, Test accuracy: 0.750 89.02
Ratio, Val accuracy: 0.500 89.32
Ratio, Test accuracy: 0.500 88.59
Ratio, Val accuracy: 0.300 86.25
Ratio, Test accuracy: 0.300 85.93
Ratio, Val accuracy: 0.250 83.29
Ratio, Test accuracy: 0.250 82.73
Ratio, Val accuracy: 0.200 74.78
Ratio, Test accuracy: 0.200 74.95
Ratio, Val accuracy: 0.150 61.31
Ratio, Test accuracy: 0.150 61.60
Ratio, Val accuracy: 0.100 29.43
Ratio, Test accuracy: 0.100 28.56
Ratio, Val accuracy: 0.050 11.40
Ratio, Test accuracy: 0.050 11.13
Executing method neural_path_kmeans on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.01
Ratio, Val accuracy: 0.900 89.73
Ratio, Val accuracy: 0.900 89.73
Ratio, Val accuracy: 0.900 89.73
Ratio, Val accuracy: 0.900 89.73
Ratio, Val accuracy: 0.900 89.75
Ratio, Test accuracy: 0.900 88.93
Ratio, Val accuracy: 0.750 89.52
Ratio, Val accuracy: 0.750 89.52
Ratio, Val accuracy: 0.750 89.58
Ratio, Val accuracy: 0.750 89.58
Ratio, Val accuracy: 0.750 89.58
Ratio, Test accuracy: 0.750 88.82
Ratio, Val accuracy: 0.500 84.64
Ratio, Val accuracy: 0.500 84.64
Ratio, Val accuracy: 0.500 86.11
Ratio, Val accuracy: 0.500 86.11
Ratio, Val accuracy: 0.500 86.11
Ratio, Test accuracy: 0.500 85.51
Ratio, Val accuracy: 0.300 68.76
Ratio, Val accuracy: 0.300 72.48
Ratio, Val accuracy: 0.300 72.48
Ratio, Val accuracy: 0.300 72.48
Ratio, Val accuracy: 0.300 72.48
Ratio, Test accuracy: 0.300 71.69
Ratio, Val accuracy: 0.250 57.13
Ratio, Val accuracy: 0.250 57.13
Ratio, Val accuracy: 0.250 59.96
Ratio, Val accuracy: 0.250 62.45
Ratio, Val accuracy: 0.250 62.45
Ratio, Test accuracy: 0.250 62.45
Ratio, Val accuracy: 0.200 49.24
Ratio, Val accuracy: 0.200 49.24
Ratio, Val accuracy: 0.200 52.73
Ratio, Val accuracy: 0.200 52.73
Ratio, Val accuracy: 0.200 52.73
Ratio, Test accuracy: 0.200 52.17
Ratio, Val accuracy: 0.150 31.10
Ratio, Val accuracy: 0.150 31.10
Ratio, Val accuracy: 0.150 33.42
Ratio, Val accuracy: 0.150 33.42
Ratio, Val accuracy: 0.150 33.42
Ratio, Test accuracy: 0.150 33.00
Ratio, Val accuracy: 0.100 19.34
Ratio, Val accuracy: 0.100 19.89
Ratio, Val accuracy: 0.100 26.49
Ratio, Val accuracy: 0.100 26.49
Ratio, Val accuracy: 0.100 27.91
Ratio, Test accuracy: 0.100 27.91
Ratio, Val accuracy: 0.050 10.01
Ratio, Val accuracy: 0.050 10.25
Ratio, Val accuracy: 0.050 10.25
Ratio, Val accuracy: 0.050 10.25
Ratio, Val accuracy: 0.050 10.25
Ratio, Test accuracy: 0.050 10.39
Executing method random_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.01
Ratio, Val accuracy: 0.900 88.80
Ratio, Val accuracy: 0.900 88.80
Ratio, Val accuracy: 0.900 88.99
Ratio, Val accuracy: 0.900 88.99
Ratio, Val accuracy: 0.900 88.99
Ratio, Test accuracy: 0.900 88.40
Ratio, Val accuracy: 0.750 86.72
Ratio, Val accuracy: 0.750 86.72
Ratio, Val accuracy: 0.750 88.06
Ratio, Val accuracy: 0.750 88.06
Ratio, Val accuracy: 0.750 88.06
Ratio, Test accuracy: 0.750 87.49
Ratio, Val accuracy: 0.500 75.32
Ratio, Val accuracy: 0.500 75.32
Ratio, Val accuracy: 0.500 75.32
Ratio, Val accuracy: 0.500 75.32
Ratio, Val accuracy: 0.500 75.90
Ratio, Test accuracy: 0.500 75.97
Ratio, Val accuracy: 0.300 31.41
Ratio, Val accuracy: 0.300 39.79
Ratio, Val accuracy: 0.300 39.79
Ratio, Val accuracy: 0.300 39.79
Ratio, Val accuracy: 0.300 45.16
Ratio, Test accuracy: 0.300 44.17
Ratio, Val accuracy: 0.250 33.13
Ratio, Val accuracy: 0.250 38.78
Ratio, Val accuracy: 0.250 44.52
Ratio, Val accuracy: 0.250 44.52
Ratio, Val accuracy: 0.250 45.96
Ratio, Test accuracy: 0.250 45.82
Ratio, Val accuracy: 0.200 27.91
Ratio, Val accuracy: 0.200 27.91
Ratio, Val accuracy: 0.200 27.91
Ratio, Val accuracy: 0.200 27.91
Ratio, Val accuracy: 0.200 30.36
Ratio, Test accuracy: 0.200 30.35
Ratio, Val accuracy: 0.150 20.26
Ratio, Val accuracy: 0.150 31.27
Ratio, Val accuracy: 0.150 31.27
Ratio, Val accuracy: 0.150 31.27
Ratio, Val accuracy: 0.150 31.27
Ratio, Test accuracy: 0.150 31.47
Ratio, Val accuracy: 0.100 13.51
Ratio, Val accuracy: 0.100 13.51
Ratio, Val accuracy: 0.100 13.51
Ratio, Val accuracy: 0.100 13.51
Ratio, Val accuracy: 0.100 13.51
Ratio, Test accuracy: 0.100 13.32
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Val accuracy: 0.050 10.16
Ratio, Test accuracy: 0.050 10.12
Executing method l1_structured on model deepNN and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.01
Ratio, Val accuracy: 0.900 87.47
Ratio, Test accuracy: 0.900 87.05
Ratio, Val accuracy: 0.750 87.18
Ratio, Test accuracy: 0.750 87.03
Ratio, Val accuracy: 0.500 72.58
Ratio, Test accuracy: 0.500 72.51
Ratio, Val accuracy: 0.300 37.03
Ratio, Test accuracy: 0.300 37.76
Ratio, Val accuracy: 0.250 21.63
Ratio, Test accuracy: 0.250 20.94
Ratio, Val accuracy: 0.200 24.22
Ratio, Test accuracy: 0.200 24.18
Ratio, Val accuracy: 0.150 16.39
Ratio, Test accuracy: 0.150 16.31
Ratio, Val accuracy: 0.100 14.60
Ratio, Test accuracy: 0.100 14.78
Ratio, Val accuracy: 0.050 10.01
Ratio, Test accuracy: 0.050 10.00
