Executing method thinet on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.00
Ratio, Val accuracy: 0.900 89.36
Ratio, Test accuracy: 0.900 88.50
Ratio, Val accuracy: 0.750 88.49
Ratio, Test accuracy: 0.750 87.59
Ratio, Val accuracy: 0.500 86.71
Ratio, Test accuracy: 0.500 85.75
Ratio, Val accuracy: 0.300 78.14
Ratio, Test accuracy: 0.300 77.08
Ratio, Val accuracy: 0.250 76.67
Ratio, Test accuracy: 0.250 75.52
Ratio, Val accuracy: 0.200 74.96
Ratio, Test accuracy: 0.200 74.17
Ratio, Val accuracy: 0.150 57.89
Ratio, Test accuracy: 0.150 57.14
Ratio, Val accuracy: 0.100 60.37
Ratio, Test accuracy: 0.100 58.94
Ratio, Val accuracy: 0.050 29.30
Ratio, Test accuracy: 0.050 29.12
Executing method neural_path_kmeans on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.00
Ratio, Val accuracy: 0.900 89.38
Ratio, Val accuracy: 0.900 89.56
Ratio, Val accuracy: 0.900 89.56
Ratio, Val accuracy: 0.900 89.56
Ratio, Val accuracy: 0.900 89.56
Ratio, Test accuracy: 0.900 88.91
Ratio, Val accuracy: 0.750 88.98
Ratio, Val accuracy: 0.750 88.98
Ratio, Val accuracy: 0.750 88.98
Ratio, Val accuracy: 0.750 88.98
Ratio, Val accuracy: 0.750 88.98
Ratio, Test accuracy: 0.750 88.33
Ratio, Val accuracy: 0.500 87.20
Ratio, Val accuracy: 0.500 87.85
Ratio, Val accuracy: 0.500 87.86
Ratio, Val accuracy: 0.500 87.86
Ratio, Val accuracy: 0.500 87.86
Ratio, Test accuracy: 0.500 86.65
Ratio, Val accuracy: 0.300 86.61
Ratio, Val accuracy: 0.300 86.61
Ratio, Val accuracy: 0.300 86.61
Ratio, Val accuracy: 0.300 86.61
Ratio, Val accuracy: 0.300 86.61
Ratio, Test accuracy: 0.300 85.25
Ratio, Val accuracy: 0.250 83.56
Ratio, Val accuracy: 0.250 83.56
Ratio, Val accuracy: 0.250 84.78
Ratio, Val accuracy: 0.250 84.78
Ratio, Val accuracy: 0.250 84.78
Ratio, Test accuracy: 0.250 83.58
Ratio, Val accuracy: 0.200 84.26
Ratio, Val accuracy: 0.200 84.26
Ratio, Val accuracy: 0.200 84.26
Ratio, Val accuracy: 0.200 87.06
Ratio, Val accuracy: 0.200 87.06
Ratio, Test accuracy: 0.200 86.46
Ratio, Val accuracy: 0.150 77.07
Ratio, Val accuracy: 0.150 79.31
Ratio, Val accuracy: 0.150 79.71
Ratio, Val accuracy: 0.150 79.71
Ratio, Val accuracy: 0.150 83.48
Ratio, Test accuracy: 0.150 82.50
Ratio, Val accuracy: 0.100 64.24
Ratio, Val accuracy: 0.100 64.24
Ratio, Val accuracy: 0.100 77.27
Ratio, Val accuracy: 0.100 77.27
Ratio, Val accuracy: 0.100 77.27
Ratio, Test accuracy: 0.100 76.78
Ratio, Val accuracy: 0.050 53.46
Ratio, Val accuracy: 0.050 53.46
Ratio, Val accuracy: 0.050 53.46
Ratio, Val accuracy: 0.050 53.46
Ratio, Val accuracy: 0.050 53.46
Ratio, Test accuracy: 0.050 52.65
Executing method random_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.00
Ratio, Val accuracy: 0.900 89.58
Ratio, Val accuracy: 0.900 89.58
Ratio, Val accuracy: 0.900 89.58
Ratio, Val accuracy: 0.900 89.58
Ratio, Val accuracy: 0.900 89.58
Ratio, Test accuracy: 0.900 88.71
Ratio, Val accuracy: 0.750 88.17
Ratio, Val accuracy: 0.750 88.69
Ratio, Val accuracy: 0.750 89.03
Ratio, Val accuracy: 0.750 89.03
Ratio, Val accuracy: 0.750 89.03
Ratio, Test accuracy: 0.750 88.04
Ratio, Val accuracy: 0.500 84.66
Ratio, Val accuracy: 0.500 85.79
Ratio, Val accuracy: 0.500 86.21
Ratio, Val accuracy: 0.500 86.21
Ratio, Val accuracy: 0.500 87.13
Ratio, Test accuracy: 0.500 86.15
Ratio, Val accuracy: 0.300 83.44
Ratio, Val accuracy: 0.300 83.44
Ratio, Val accuracy: 0.300 83.44
Ratio, Val accuracy: 0.300 83.44
Ratio, Val accuracy: 0.300 83.44
Ratio, Test accuracy: 0.300 82.10
Ratio, Val accuracy: 0.250 80.01
Ratio, Val accuracy: 0.250 80.01
Ratio, Val accuracy: 0.250 80.01
Ratio, Val accuracy: 0.250 80.01
Ratio, Val accuracy: 0.250 80.01
Ratio, Test accuracy: 0.250 79.33
Ratio, Val accuracy: 0.200 79.78
Ratio, Val accuracy: 0.200 79.78
Ratio, Val accuracy: 0.200 81.12
Ratio, Val accuracy: 0.200 81.12
Ratio, Val accuracy: 0.200 81.12
Ratio, Test accuracy: 0.200 79.92
Ratio, Val accuracy: 0.150 69.15
Ratio, Val accuracy: 0.150 75.77
Ratio, Val accuracy: 0.150 76.11
Ratio, Val accuracy: 0.150 76.11
Ratio, Val accuracy: 0.150 76.11
Ratio, Test accuracy: 0.150 75.11
Ratio, Val accuracy: 0.100 63.76
Ratio, Val accuracy: 0.100 63.76
Ratio, Val accuracy: 0.100 68.00
Ratio, Val accuracy: 0.100 68.00
Ratio, Val accuracy: 0.100 68.00
Ratio, Test accuracy: 0.100 67.70
Ratio, Val accuracy: 0.050 40.59
Ratio, Val accuracy: 0.050 40.59
Ratio, Val accuracy: 0.050 40.59
Ratio, Val accuracy: 0.050 53.09
Ratio, Val accuracy: 0.050 53.09
Ratio, Test accuracy: 0.050 52.02
Executing method l1_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 89.00
Ratio, Val accuracy: 0.900 87.58
Ratio, Test accuracy: 0.900 86.84
Ratio, Val accuracy: 0.750 88.34
Ratio, Test accuracy: 0.750 87.42
Ratio, Val accuracy: 0.500 84.96
Ratio, Test accuracy: 0.500 84.20
Ratio, Val accuracy: 0.300 81.26
Ratio, Test accuracy: 0.300 80.85
Ratio, Val accuracy: 0.250 82.87
Ratio, Test accuracy: 0.250 81.72
Ratio, Val accuracy: 0.200 78.76
Ratio, Test accuracy: 0.200 78.11
Ratio, Val accuracy: 0.150 69.18
Ratio, Test accuracy: 0.150 68.05
Ratio, Val accuracy: 0.100 56.30
Ratio, Test accuracy: 0.100 55.52
Ratio, Val accuracy: 0.050 36.81
Ratio, Test accuracy: 0.050 36.83
Executing method thinet on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.75
Ratio, Val accuracy: 0.900 89.28
Ratio, Test accuracy: 0.900 88.48
Ratio, Val accuracy: 0.750 89.14
Ratio, Test accuracy: 0.750 88.09
Ratio, Val accuracy: 0.500 86.33
Ratio, Test accuracy: 0.500 85.31
Ratio, Val accuracy: 0.300 73.09
Ratio, Test accuracy: 0.300 72.80
Ratio, Val accuracy: 0.250 68.60
Ratio, Test accuracy: 0.250 68.34
Ratio, Val accuracy: 0.200 63.76
Ratio, Test accuracy: 0.200 62.94
Ratio, Val accuracy: 0.150 48.31
Ratio, Test accuracy: 0.150 48.05
Ratio, Val accuracy: 0.100 45.62
Ratio, Test accuracy: 0.100 44.93
Ratio, Val accuracy: 0.050 38.26
Ratio, Test accuracy: 0.050 37.61
Executing method neural_path_kmeans on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.75
Ratio, Val accuracy: 0.900 89.29
Ratio, Val accuracy: 0.900 89.29
Ratio, Val accuracy: 0.900 89.29
Ratio, Val accuracy: 0.900 89.29
Ratio, Val accuracy: 0.900 89.29
Ratio, Test accuracy: 0.900 88.48
Ratio, Val accuracy: 0.750 88.58
Ratio, Val accuracy: 0.750 88.80
Ratio, Val accuracy: 0.750 88.80
Ratio, Val accuracy: 0.750 88.80
Ratio, Val accuracy: 0.750 88.80
Ratio, Test accuracy: 0.750 88.04
Ratio, Val accuracy: 0.500 86.82
Ratio, Val accuracy: 0.500 87.60
Ratio, Val accuracy: 0.500 88.28
Ratio, Val accuracy: 0.500 88.28
Ratio, Val accuracy: 0.500 88.28
Ratio, Test accuracy: 0.500 87.36
Ratio, Val accuracy: 0.300 84.94
Ratio, Val accuracy: 0.300 85.40
Ratio, Val accuracy: 0.300 85.40
Ratio, Val accuracy: 0.300 85.40
Ratio, Val accuracy: 0.300 85.40
Ratio, Test accuracy: 0.300 84.83
Ratio, Val accuracy: 0.250 80.47
Ratio, Val accuracy: 0.250 80.54
Ratio, Val accuracy: 0.250 80.54
Ratio, Val accuracy: 0.250 84.19
Ratio, Val accuracy: 0.250 85.16
Ratio, Test accuracy: 0.250 84.58
Ratio, Val accuracy: 0.200 74.18
Ratio, Val accuracy: 0.200 81.25
Ratio, Val accuracy: 0.200 81.25
Ratio, Val accuracy: 0.200 84.01
Ratio, Val accuracy: 0.200 84.01
Ratio, Test accuracy: 0.200 83.10
Ratio, Val accuracy: 0.150 79.72
Ratio, Val accuracy: 0.150 79.72
Ratio, Val accuracy: 0.150 79.72
Ratio, Val accuracy: 0.150 79.72
Ratio, Val accuracy: 0.150 79.72
Ratio, Test accuracy: 0.150 78.61
Ratio, Val accuracy: 0.100 67.31
Ratio, Val accuracy: 0.100 73.33
Ratio, Val accuracy: 0.100 73.33
Ratio, Val accuracy: 0.100 73.33
Ratio, Val accuracy: 0.100 73.33
Ratio, Test accuracy: 0.100 72.57
Ratio, Val accuracy: 0.050 52.62
Ratio, Val accuracy: 0.050 52.62
Ratio, Val accuracy: 0.050 53.27
Ratio, Val accuracy: 0.050 53.27
Ratio, Val accuracy: 0.050 53.27
Ratio, Test accuracy: 0.050 52.94
Executing method random_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.75
Ratio, Val accuracy: 0.900 89.06
Ratio, Val accuracy: 0.900 89.06
Ratio, Val accuracy: 0.900 89.33
Ratio, Val accuracy: 0.900 89.33
Ratio, Val accuracy: 0.900 89.33
Ratio, Test accuracy: 0.900 88.44
Ratio, Val accuracy: 0.750 87.38
Ratio, Val accuracy: 0.750 88.54
Ratio, Val accuracy: 0.750 88.65
Ratio, Val accuracy: 0.750 88.65
Ratio, Val accuracy: 0.750 88.65
Ratio, Test accuracy: 0.750 87.82
Ratio, Val accuracy: 0.500 81.41
Ratio, Val accuracy: 0.500 87.27
Ratio, Val accuracy: 0.500 87.27
Ratio, Val accuracy: 0.500 87.27
Ratio, Val accuracy: 0.500 87.27
Ratio, Test accuracy: 0.500 86.44
Ratio, Val accuracy: 0.300 79.96
Ratio, Val accuracy: 0.300 84.31
Ratio, Val accuracy: 0.300 84.31
Ratio, Val accuracy: 0.300 84.31
Ratio, Val accuracy: 0.300 84.31
Ratio, Test accuracy: 0.300 83.16
Ratio, Val accuracy: 0.250 79.59
Ratio, Val accuracy: 0.250 79.59
Ratio, Val accuracy: 0.250 81.13
Ratio, Val accuracy: 0.250 81.13
Ratio, Val accuracy: 0.250 81.13
Ratio, Test accuracy: 0.250 80.63
Ratio, Val accuracy: 0.200 65.17
Ratio, Val accuracy: 0.200 79.52
Ratio, Val accuracy: 0.200 79.52
Ratio, Val accuracy: 0.200 79.72
Ratio, Val accuracy: 0.200 79.72
Ratio, Test accuracy: 0.200 79.18
Ratio, Val accuracy: 0.150 65.04
Ratio, Val accuracy: 0.150 73.53
Ratio, Val accuracy: 0.150 73.76
Ratio, Val accuracy: 0.150 73.76
Ratio, Val accuracy: 0.150 73.76
Ratio, Test accuracy: 0.150 73.30
Ratio, Val accuracy: 0.100 62.95
Ratio, Val accuracy: 0.100 62.95
Ratio, Val accuracy: 0.100 62.95
Ratio, Val accuracy: 0.100 62.95
Ratio, Val accuracy: 0.100 68.61
Ratio, Test accuracy: 0.100 68.00
Ratio, Val accuracy: 0.050 38.66
Ratio, Val accuracy: 0.050 38.66
Ratio, Val accuracy: 0.050 38.66
Ratio, Val accuracy: 0.050 46.27
Ratio, Val accuracy: 0.050 46.27
Ratio, Test accuracy: 0.050 46.58
Executing method l1_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.75
Ratio, Val accuracy: 0.900 88.80
Ratio, Test accuracy: 0.900 88.06
Ratio, Val accuracy: 0.750 87.28
Ratio, Test accuracy: 0.750 86.33
Ratio, Val accuracy: 0.500 85.30
Ratio, Test accuracy: 0.500 85.14
Ratio, Val accuracy: 0.300 79.77
Ratio, Test accuracy: 0.300 79.38
Ratio, Val accuracy: 0.250 79.72
Ratio, Test accuracy: 0.250 78.36
Ratio, Val accuracy: 0.200 77.88
Ratio, Test accuracy: 0.200 77.45
Ratio, Val accuracy: 0.150 47.47
Ratio, Test accuracy: 0.150 46.74
Ratio, Val accuracy: 0.100 60.17
Ratio, Test accuracy: 0.100 59.61
Ratio, Val accuracy: 0.050 54.55
Ratio, Test accuracy: 0.050 54.43
Executing method thinet on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.24
Ratio, Val accuracy: 0.900 89.22
Ratio, Test accuracy: 0.900 88.10
Ratio, Val accuracy: 0.750 88.20
Ratio, Test accuracy: 0.750 87.42
Ratio, Val accuracy: 0.500 82.46
Ratio, Test accuracy: 0.500 81.91
Ratio, Val accuracy: 0.300 74.02
Ratio, Test accuracy: 0.300 73.24
Ratio, Val accuracy: 0.250 65.98
Ratio, Test accuracy: 0.250 64.62
Ratio, Val accuracy: 0.200 62.28
Ratio, Test accuracy: 0.200 61.26
Ratio, Val accuracy: 0.150 55.37
Ratio, Test accuracy: 0.150 54.82
Ratio, Val accuracy: 0.100 47.56
Ratio, Test accuracy: 0.100 47.07
Ratio, Val accuracy: 0.050 33.58
Ratio, Test accuracy: 0.050 33.32
Executing method neural_path_kmeans on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.24
Ratio, Val accuracy: 0.900 89.12
Ratio, Val accuracy: 0.900 89.17
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 88.27
Ratio, Val accuracy: 0.750 88.79
Ratio, Val accuracy: 0.750 89.08
Ratio, Val accuracy: 0.750 89.08
Ratio, Val accuracy: 0.750 89.08
Ratio, Val accuracy: 0.750 89.08
Ratio, Test accuracy: 0.750 87.71
Ratio, Val accuracy: 0.500 87.93
Ratio, Val accuracy: 0.500 88.14
Ratio, Val accuracy: 0.500 88.14
Ratio, Val accuracy: 0.500 88.85
Ratio, Val accuracy: 0.500 88.85
Ratio, Test accuracy: 0.500 87.75
Ratio, Val accuracy: 0.300 84.62
Ratio, Val accuracy: 0.300 84.62
Ratio, Val accuracy: 0.300 84.62
Ratio, Val accuracy: 0.300 86.13
Ratio, Val accuracy: 0.300 86.13
Ratio, Test accuracy: 0.300 85.03
Ratio, Val accuracy: 0.250 78.44
Ratio, Val accuracy: 0.250 80.54
Ratio, Val accuracy: 0.250 82.40
Ratio, Val accuracy: 0.250 82.40
Ratio, Val accuracy: 0.250 82.40
Ratio, Test accuracy: 0.250 81.46
Ratio, Val accuracy: 0.200 79.59
Ratio, Val accuracy: 0.200 81.92
Ratio, Val accuracy: 0.200 81.92
Ratio, Val accuracy: 0.200 81.92
Ratio, Val accuracy: 0.200 81.92
Ratio, Test accuracy: 0.200 81.38
Ratio, Val accuracy: 0.150 74.98
Ratio, Val accuracy: 0.150 74.98
Ratio, Val accuracy: 0.150 74.98
Ratio, Val accuracy: 0.150 74.98
Ratio, Val accuracy: 0.150 74.98
Ratio, Test accuracy: 0.150 74.31
Ratio, Val accuracy: 0.100 52.85
Ratio, Val accuracy: 0.100 58.30
Ratio, Val accuracy: 0.100 59.28
Ratio, Val accuracy: 0.100 61.48
Ratio, Val accuracy: 0.100 61.48
Ratio, Test accuracy: 0.100 61.16
Ratio, Val accuracy: 0.050 34.22
Ratio, Val accuracy: 0.050 43.64
Ratio, Val accuracy: 0.050 43.64
Ratio, Val accuracy: 0.050 43.64
Ratio, Val accuracy: 0.050 43.64
Ratio, Test accuracy: 0.050 42.91
Executing method random_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.24
Ratio, Val accuracy: 0.900 88.69
Ratio, Val accuracy: 0.900 89.04
Ratio, Val accuracy: 0.900 89.05
Ratio, Val accuracy: 0.900 89.05
Ratio, Val accuracy: 0.900 89.05
Ratio, Test accuracy: 0.900 87.69
Ratio, Val accuracy: 0.750 87.88
Ratio, Val accuracy: 0.750 87.88
Ratio, Val accuracy: 0.750 88.10
Ratio, Val accuracy: 0.750 88.10
Ratio, Val accuracy: 0.750 88.10
Ratio, Test accuracy: 0.750 87.04
Ratio, Val accuracy: 0.500 86.50
Ratio, Val accuracy: 0.500 86.50
Ratio, Val accuracy: 0.500 86.50
Ratio, Val accuracy: 0.500 86.50
Ratio, Val accuracy: 0.500 86.50
Ratio, Test accuracy: 0.500 85.40
Ratio, Val accuracy: 0.300 78.93
Ratio, Val accuracy: 0.300 79.41
Ratio, Val accuracy: 0.300 79.41
Ratio, Val accuracy: 0.300 79.41
Ratio, Val accuracy: 0.300 79.41
Ratio, Test accuracy: 0.300 78.37
Ratio, Val accuracy: 0.250 78.02
Ratio, Val accuracy: 0.250 78.56
Ratio, Val accuracy: 0.250 81.81
Ratio, Val accuracy: 0.250 81.81
Ratio, Val accuracy: 0.250 81.81
Ratio, Test accuracy: 0.250 80.81
Ratio, Val accuracy: 0.200 78.43
Ratio, Val accuracy: 0.200 78.43
Ratio, Val accuracy: 0.200 78.43
Ratio, Val accuracy: 0.200 78.43
Ratio, Val accuracy: 0.200 78.43
Ratio, Test accuracy: 0.200 77.93
Ratio, Val accuracy: 0.150 54.17
Ratio, Val accuracy: 0.150 74.02
Ratio, Val accuracy: 0.150 74.02
Ratio, Val accuracy: 0.150 74.02
Ratio, Val accuracy: 0.150 74.02
Ratio, Test accuracy: 0.150 72.63
Ratio, Val accuracy: 0.100 50.54
Ratio, Val accuracy: 0.100 64.65
Ratio, Val accuracy: 0.100 64.65
Ratio, Val accuracy: 0.100 64.65
Ratio, Val accuracy: 0.100 64.65
Ratio, Test accuracy: 0.100 63.56
Ratio, Val accuracy: 0.050 30.84
Ratio, Val accuracy: 0.050 43.86
Ratio, Val accuracy: 0.050 45.06
Ratio, Val accuracy: 0.050 45.06
Ratio, Val accuracy: 0.050 45.61
Ratio, Test accuracy: 0.050 45.17
Executing method l1_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.24
Ratio, Val accuracy: 0.900 88.53
Ratio, Test accuracy: 0.900 87.44
Ratio, Val accuracy: 0.750 88.64
Ratio, Test accuracy: 0.750 87.41
Ratio, Val accuracy: 0.500 82.43
Ratio, Test accuracy: 0.500 81.24
Ratio, Val accuracy: 0.300 80.17
Ratio, Test accuracy: 0.300 79.30
Ratio, Val accuracy: 0.250 71.67
Ratio, Test accuracy: 0.250 70.93
Ratio, Val accuracy: 0.200 70.19
Ratio, Test accuracy: 0.200 69.37
Ratio, Val accuracy: 0.150 45.97
Ratio, Test accuracy: 0.150 45.41
Ratio, Val accuracy: 0.100 68.24
Ratio, Test accuracy: 0.100 67.80
Ratio, Val accuracy: 0.050 38.15
Ratio, Test accuracy: 0.050 38.61
Executing method thinet on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.52
Ratio, Val accuracy: 0.900 89.43
Ratio, Test accuracy: 0.900 88.22
Ratio, Val accuracy: 0.750 88.79
Ratio, Test accuracy: 0.750 88.07
Ratio, Val accuracy: 0.500 86.21
Ratio, Test accuracy: 0.500 85.69
Ratio, Val accuracy: 0.300 76.35
Ratio, Test accuracy: 0.300 75.34
Ratio, Val accuracy: 0.250 72.91
Ratio, Test accuracy: 0.250 71.65
Ratio, Val accuracy: 0.200 63.59
Ratio, Test accuracy: 0.200 62.68
Ratio, Val accuracy: 0.150 56.63
Ratio, Test accuracy: 0.150 55.93
Ratio, Val accuracy: 0.100 45.58
Ratio, Test accuracy: 0.100 45.09
Ratio, Val accuracy: 0.050 37.53
Ratio, Test accuracy: 0.050 37.21
Executing method neural_path_kmeans on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.52
Ratio, Val accuracy: 0.900 89.57
Ratio, Val accuracy: 0.900 89.57
Ratio, Val accuracy: 0.900 89.57
Ratio, Val accuracy: 0.900 89.57
Ratio, Val accuracy: 0.900 89.57
Ratio, Test accuracy: 0.900 88.55
Ratio, Val accuracy: 0.750 88.66
Ratio, Val accuracy: 0.750 88.94
Ratio, Val accuracy: 0.750 88.94
Ratio, Val accuracy: 0.750 89.00
Ratio, Val accuracy: 0.750 89.05
Ratio, Test accuracy: 0.750 87.51
Ratio, Val accuracy: 0.500 87.14
Ratio, Val accuracy: 0.500 87.14
Ratio, Val accuracy: 0.500 87.96
Ratio, Val accuracy: 0.500 87.96
Ratio, Val accuracy: 0.500 87.96
Ratio, Test accuracy: 0.500 86.65
Ratio, Val accuracy: 0.300 86.12
Ratio, Val accuracy: 0.300 86.64
Ratio, Val accuracy: 0.300 86.64
Ratio, Val accuracy: 0.300 86.64
Ratio, Val accuracy: 0.300 86.64
Ratio, Test accuracy: 0.300 85.14
Ratio, Val accuracy: 0.250 75.89
Ratio, Val accuracy: 0.250 75.89
Ratio, Val accuracy: 0.250 83.27
Ratio, Val accuracy: 0.250 83.27
Ratio, Val accuracy: 0.250 83.27
Ratio, Test accuracy: 0.250 81.91
Ratio, Val accuracy: 0.200 78.43
Ratio, Val accuracy: 0.200 80.19
Ratio, Val accuracy: 0.200 80.93
Ratio, Val accuracy: 0.200 83.39
Ratio, Val accuracy: 0.200 83.39
Ratio, Test accuracy: 0.200 82.33
Ratio, Val accuracy: 0.150 69.60
Ratio, Val accuracy: 0.150 74.89
Ratio, Val accuracy: 0.150 76.46
Ratio, Val accuracy: 0.150 76.46
Ratio, Val accuracy: 0.150 76.46
Ratio, Test accuracy: 0.150 76.26
Ratio, Val accuracy: 0.100 50.56
Ratio, Val accuracy: 0.100 63.71
Ratio, Val accuracy: 0.100 69.77
Ratio, Val accuracy: 0.100 69.77
Ratio, Val accuracy: 0.100 69.77
Ratio, Test accuracy: 0.100 69.14
Ratio, Val accuracy: 0.050 29.68
Ratio, Val accuracy: 0.050 44.32
Ratio, Val accuracy: 0.050 44.32
Ratio, Val accuracy: 0.050 44.32
Ratio, Val accuracy: 0.050 44.32
Ratio, Test accuracy: 0.050 43.93
Executing method random_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.52
Ratio, Val accuracy: 0.900 88.62
Ratio, Val accuracy: 0.900 88.88
Ratio, Val accuracy: 0.900 89.08
Ratio, Val accuracy: 0.900 89.29
Ratio, Val accuracy: 0.900 89.29
Ratio, Test accuracy: 0.900 88.05
Ratio, Val accuracy: 0.750 88.75
Ratio, Val accuracy: 0.750 88.75
Ratio, Val accuracy: 0.750 88.75
Ratio, Val accuracy: 0.750 88.75
Ratio, Val accuracy: 0.750 88.75
Ratio, Test accuracy: 0.750 87.74
Ratio, Val accuracy: 0.500 83.34
Ratio, Val accuracy: 0.500 83.34
Ratio, Val accuracy: 0.500 87.55
Ratio, Val accuracy: 0.500 87.55
Ratio, Val accuracy: 0.500 87.55
Ratio, Test accuracy: 0.500 86.85
Ratio, Val accuracy: 0.300 82.48
Ratio, Val accuracy: 0.300 82.48
Ratio, Val accuracy: 0.300 82.48
Ratio, Val accuracy: 0.300 82.48
Ratio, Val accuracy: 0.300 82.48
Ratio, Test accuracy: 0.300 81.98
Ratio, Val accuracy: 0.250 76.11
Ratio, Val accuracy: 0.250 76.11
Ratio, Val accuracy: 0.250 78.27
Ratio, Val accuracy: 0.250 81.41
Ratio, Val accuracy: 0.250 81.41
Ratio, Test accuracy: 0.250 80.55
Ratio, Val accuracy: 0.200 70.44
Ratio, Val accuracy: 0.200 70.44
Ratio, Val accuracy: 0.200 70.44
Ratio, Val accuracy: 0.200 73.49
Ratio, Val accuracy: 0.200 73.49
Ratio, Test accuracy: 0.200 72.81
Ratio, Val accuracy: 0.150 69.11
Ratio, Val accuracy: 0.150 69.25
Ratio, Val accuracy: 0.150 70.73
Ratio, Val accuracy: 0.150 70.73
Ratio, Val accuracy: 0.150 70.73
Ratio, Test accuracy: 0.150 70.01
Ratio, Val accuracy: 0.100 61.01
Ratio, Val accuracy: 0.100 61.01
Ratio, Val accuracy: 0.100 61.01
Ratio, Val accuracy: 0.100 67.36
Ratio, Val accuracy: 0.100 67.36
Ratio, Test accuracy: 0.100 65.72
Ratio, Val accuracy: 0.050 32.75
Ratio, Val accuracy: 0.050 38.14
Ratio, Val accuracy: 0.050 38.14
Ratio, Val accuracy: 0.050 47.61
Ratio, Val accuracy: 0.050 47.61
Ratio, Test accuracy: 0.050 47.31
Executing method l1_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.52
Ratio, Val accuracy: 0.900 89.40
Ratio, Test accuracy: 0.900 88.17
Ratio, Val accuracy: 0.750 88.12
Ratio, Test accuracy: 0.750 87.21
Ratio, Val accuracy: 0.500 85.16
Ratio, Test accuracy: 0.500 84.44
Ratio, Val accuracy: 0.300 80.25
Ratio, Test accuracy: 0.300 79.15
Ratio, Val accuracy: 0.250 80.56
Ratio, Test accuracy: 0.250 80.02
Ratio, Val accuracy: 0.200 73.32
Ratio, Test accuracy: 0.200 72.68
Ratio, Val accuracy: 0.150 56.22
Ratio, Test accuracy: 0.150 55.11
Ratio, Val accuracy: 0.100 53.59
Ratio, Test accuracy: 0.100 52.42
Ratio, Val accuracy: 0.050 50.24
Ratio, Test accuracy: 0.050 49.31
Executing method thinet on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.37
Ratio, Val accuracy: 0.900 89.31
Ratio, Test accuracy: 0.900 88.03
Ratio, Val accuracy: 0.750 88.71
Ratio, Test accuracy: 0.750 87.37
Ratio, Val accuracy: 0.500 86.94
Ratio, Test accuracy: 0.500 85.98
Ratio, Val accuracy: 0.300 77.02
Ratio, Test accuracy: 0.300 77.02
Ratio, Val accuracy: 0.250 76.79
Ratio, Test accuracy: 0.250 76.53
Ratio, Val accuracy: 0.200 75.44
Ratio, Test accuracy: 0.200 75.49
Ratio, Val accuracy: 0.150 62.50
Ratio, Test accuracy: 0.150 62.54
Ratio, Val accuracy: 0.100 49.92
Ratio, Test accuracy: 0.100 48.85
Ratio, Val accuracy: 0.050 29.96
Ratio, Test accuracy: 0.050 29.79
Executing method neural_path_kmeans on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.37
Ratio, Val accuracy: 0.900 89.09
Ratio, Val accuracy: 0.900 89.09
Ratio, Val accuracy: 0.900 89.09
Ratio, Val accuracy: 0.900 89.09
Ratio, Val accuracy: 0.900 89.09
Ratio, Test accuracy: 0.900 88.32
Ratio, Val accuracy: 0.750 88.58
Ratio, Val accuracy: 0.750 88.59
Ratio, Val accuracy: 0.750 88.59
Ratio, Val accuracy: 0.750 88.59
Ratio, Val accuracy: 0.750 88.59
Ratio, Test accuracy: 0.750 87.47
Ratio, Val accuracy: 0.500 87.08
Ratio, Val accuracy: 0.500 87.84
Ratio, Val accuracy: 0.500 87.84
Ratio, Val accuracy: 0.500 87.84
Ratio, Val accuracy: 0.500 87.84
Ratio, Test accuracy: 0.500 86.20
Ratio, Val accuracy: 0.300 85.04
Ratio, Val accuracy: 0.300 85.04
Ratio, Val accuracy: 0.300 85.04
Ratio, Val accuracy: 0.300 85.90
Ratio, Val accuracy: 0.300 86.51
Ratio, Test accuracy: 0.300 85.57
Ratio, Val accuracy: 0.250 82.86
Ratio, Val accuracy: 0.250 83.91
Ratio, Val accuracy: 0.250 83.91
Ratio, Val accuracy: 0.250 85.72
Ratio, Val accuracy: 0.250 85.72
Ratio, Test accuracy: 0.250 84.39
Ratio, Val accuracy: 0.200 78.69
Ratio, Val accuracy: 0.200 80.13
Ratio, Val accuracy: 0.200 82.79
Ratio, Val accuracy: 0.200 82.79
Ratio, Val accuracy: 0.200 82.79
Ratio, Test accuracy: 0.200 81.69
Ratio, Val accuracy: 0.150 72.59
Ratio, Val accuracy: 0.150 72.59
Ratio, Val accuracy: 0.150 72.59
Ratio, Val accuracy: 0.150 73.68
Ratio, Val accuracy: 0.150 78.58
Ratio, Test accuracy: 0.150 77.68
Ratio, Val accuracy: 0.100 57.32
Ratio, Val accuracy: 0.100 57.70
Ratio, Val accuracy: 0.100 63.03
Ratio, Val accuracy: 0.100 64.15
Ratio, Val accuracy: 0.100 64.15
Ratio, Test accuracy: 0.100 62.76
Ratio, Val accuracy: 0.050 39.84
Ratio, Val accuracy: 0.050 39.84
Ratio, Val accuracy: 0.050 39.84
Ratio, Val accuracy: 0.050 42.64
Ratio, Val accuracy: 0.050 42.64
Ratio, Test accuracy: 0.050 43.10
Executing method random_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.37
Ratio, Val accuracy: 0.900 89.03
Ratio, Val accuracy: 0.900 89.03
Ratio, Val accuracy: 0.900 89.13
Ratio, Val accuracy: 0.900 89.13
Ratio, Val accuracy: 0.900 89.24
Ratio, Test accuracy: 0.900 88.33
Ratio, Val accuracy: 0.750 88.06
Ratio, Val accuracy: 0.750 88.06
Ratio, Val accuracy: 0.750 88.10
Ratio, Val accuracy: 0.750 88.10
Ratio, Val accuracy: 0.750 88.51
Ratio, Test accuracy: 0.750 87.60
Ratio, Val accuracy: 0.500 84.16
Ratio, Val accuracy: 0.500 85.69
Ratio, Val accuracy: 0.500 85.69
Ratio, Val accuracy: 0.500 86.13
Ratio, Val accuracy: 0.500 86.13
Ratio, Test accuracy: 0.500 84.98
Ratio, Val accuracy: 0.300 77.64
Ratio, Val accuracy: 0.300 79.26
Ratio, Val accuracy: 0.300 79.26
Ratio, Val accuracy: 0.300 79.26
Ratio, Val accuracy: 0.300 81.78
Ratio, Test accuracy: 0.300 81.11
Ratio, Val accuracy: 0.250 73.68
Ratio, Val accuracy: 0.250 77.41
Ratio, Val accuracy: 0.250 77.41
Ratio, Val accuracy: 0.250 77.41
Ratio, Val accuracy: 0.250 79.76
Ratio, Test accuracy: 0.250 79.15
Ratio, Val accuracy: 0.200 71.50
Ratio, Val accuracy: 0.200 73.11
Ratio, Val accuracy: 0.200 74.33
Ratio, Val accuracy: 0.200 74.33
Ratio, Val accuracy: 0.200 77.97
Ratio, Test accuracy: 0.200 76.89
Ratio, Val accuracy: 0.150 72.75
Ratio, Val accuracy: 0.150 72.75
Ratio, Val accuracy: 0.150 72.75
Ratio, Val accuracy: 0.150 72.75
Ratio, Val accuracy: 0.150 74.13
Ratio, Test accuracy: 0.150 72.90
Ratio, Val accuracy: 0.100 53.58
Ratio, Val accuracy: 0.100 53.58
Ratio, Val accuracy: 0.100 60.11
Ratio, Val accuracy: 0.100 60.11
Ratio, Val accuracy: 0.100 60.11
Ratio, Test accuracy: 0.100 58.78
Ratio, Val accuracy: 0.050 33.56
Ratio, Val accuracy: 0.050 42.53
Ratio, Val accuracy: 0.050 49.58
Ratio, Val accuracy: 0.050 49.58
Ratio, Val accuracy: 0.050 49.58
Ratio, Test accuracy: 0.050 49.67
Executing method l1_structured on model LeNet5 and dataset FASHION_MNIST
Ratio, Test accuracy: 1.000 88.37
Ratio, Val accuracy: 0.900 88.92
Ratio, Test accuracy: 0.900 87.71
Ratio, Val accuracy: 0.750 88.80
Ratio, Test accuracy: 0.750 87.72
Ratio, Val accuracy: 0.500 84.30
Ratio, Test accuracy: 0.500 83.62
Ratio, Val accuracy: 0.300 84.75
Ratio, Test accuracy: 0.300 83.33
Ratio, Val accuracy: 0.250 80.77
Ratio, Test accuracy: 0.250 79.80
Ratio, Val accuracy: 0.200 72.56
Ratio, Test accuracy: 0.200 71.81
Ratio, Val accuracy: 0.150 65.53
Ratio, Test accuracy: 0.150 65.72
Ratio, Val accuracy: 0.100 67.04
Ratio, Test accuracy: 0.100 66.08
Ratio, Val accuracy: 0.050 48.45
Ratio, Test accuracy: 0.050 48.01
