Skip to content

Latest commit

 

History

History
326 lines (264 loc) · 10.3 KB

results.md

File metadata and controls

326 lines (264 loc) · 10.3 KB
All Datasets
Hyperparameter Performance Training Time Inference Time
optimizer 24.10 0.37 0.32
learning_rate 6.20 9.96 8.38
loss 0.38 0.16 0.11
batch_size 3.06 39.60 36.17
Dense
Hyperparameter Performance Training Time Inference Time
optimizer 18.10 0.40 0.27
learning_rate 6.53 12.81 10.60
loss 0.47 0.21 0.13
batch_size 3.53 43.31 40.65
n_dense_nodes 2.12 10.19 0.89
dense_activation 3.33 0.26 0.97
dense_dropout_rate 3.27 0.30 0.44
n_dense_layers 8.54 8.77 27.08
Image
Hyperparameter Performance Training Time Inference Time
optimizer 35.59 0.31 0.34
learning_rate 6.15 8.26 7.68
loss 0.19 0.07 0.05
batch_size 2.30 41.44 35.51
Tabular
Hyperparameter Performance Training Time Inference Time
optimizer 8.79 0.45 0.30
learning_rate 6.27 12.22 9.31
loss 0.64 0.28 0.20
batch_size 4.08 37.13 37.05
n_dense_nodes 2.15 11.23 0.82
dense_activation 3.98 0.29 1.33
dense_dropout_rate 4.28 0.37 0.44
n_dense_layers 8.65 11.43 31.82
Tabular Regression
Hyperparameter Performance Training Time Inference Time
optimizer 0.74 0.58 0.44
learning_rate 5.91 8.23 7.78
loss 0.94 0.44 0.21
batch_size 5.07 33.28 27.37
n_dense_nodes 2.45 12.70 1.05
dense_activation 2.87 0.37 1.67
dense_dropout_rate 5.93 0.47 0.53
n_dense_layers 1.33 14.13 40.06
Tabular Classification
Hyperparameter Performance Training Time Inference Time
optimizer 16.85 0.31 0.15
learning_rate 6.63 16.21 10.84
loss 0.35 0.12 0.18
batch_size 3.10 40.99 46.73
n_dense_nodes 1.85 9.75 0.59
dense_activation 5.09 0.21 0.99
dense_dropout_rate 2.64 0.27 0.36
n_dense_layers 15.96 8.73 23.58
Dense Image
Hyperparameter Performance Training Time Inference Time
optimizer 32.06 0.32 0.23
learning_rate 6.92 13.69 12.55
loss 0.21 0.10 0.03
batch_size 2.69 52.58 46.04
n_dense_nodes 2.07 8.62 0.99
dense_activation 2.36 0.21 0.44
dense_dropout_rate 1.75 0.20 0.43
n_dense_layers 8.38 4.77 19.96
CNN Image
Hyperparameter Performance Training Time Inference Time
optimizer 39.11 0.29 0.45
learning_rate 5.37 2.83 2.81
loss 0.17 0.03 0.07
batch_size 1.91 30.31 24.99
n_kernels 0.98 15.92 11.78
kernel_size 0.52 0.17 0.33
pool_size 1.30 0.35 0.76
conv_activation 0.53 0.20 0.47
conv_dropout_rate 1.35 0.72 0.76
n_conv_layers 3.30 13.54 18.37
n_dense_nodes 2.01 3.98 1.15
dense_activation 1.31 0.12 0.49
dense_dropout_rate 1.41 0.27 0.54
n_dense_layers 2.32 0.84 3.75
abalone DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 0.28 0.60 0.51
learning_rate 9.90 2.68 1.74
loss 1.21 0.42 0.34
n_dense_nodes 0.71 22.42 0.86
dense_activation 2.13 0.36 3.16
dense_dropout_rate 6.61 0.37 0.57
n_dense_layers 1.69 27.35 66.91
batch_size 4.23 4.56 3.11
bike_sharing DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 1.65 0.36 0.72
learning_rate 7.19 7.30 4.58
loss 0.50 0.49 0.18
n_dense_nodes 1.12 14.58 1.21
dense_activation 3.41 0.12 1.51
dense_dropout_rate 6.37 0.30 0.42
n_dense_layers 1.74 14.78 53.18
batch_size 5.45 32.70 14.40
compas DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 15.92 0.67 0.24
learning_rate 7.70 4.85 1.31
loss 0.50 0.11 0.16
n_dense_nodes 2.96 23.45 0.72
dense_activation 3.41 0.34 2.26
dense_dropout_rate 3.59 0.58 0.31
n_dense_layers 16.37 22.87 69.07
batch_size 1.74 4.62 5.56
covertype DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 12.03 0.19 0.15
learning_rate 4.51 20.96 16.07
loss 0.29 0.08 0.25
n_dense_nodes 0.83 3.44 0.31
dense_activation 11.24 0.10 0.61
dense_dropout_rate 1.18 0.11 0.42
n_dense_layers 11.66 2.20 1.42
batch_size 5.46 60.66 68.08
delays_zurich DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 0.28 0.77 0.09
learning_rate 0.65 14.72 17.02
loss 1.10 0.41 0.11
n_dense_nodes 5.51 1.11 1.07
dense_activation 3.06 0.64 0.34
dense_dropout_rate 4.80 0.73 0.59
n_dense_layers 0.57 0.26 0.10
batch_size 5.52 62.57 64.60
higgs DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 22.59 0.08 0.06
learning_rate 7.69 22.82 15.14
loss 0.28 0.17 0.13
n_dense_nodes 1.74 2.38 0.74
dense_activation 0.63 0.19 0.08
dense_dropout_rate 3.14 0.13 0.33
n_dense_layers 19.86 1.12 0.27
batch_size 2.10 57.70 66.55
cifar10 CNNModel
Hyperparameter Performance Training Time Inference Time
optimizer 45.67 0.23 0.35
learning_rate 4.74 2.21 1.77
loss 0.20 0.06 0.14
n_kernels 0.63 35.13 33.70
kernel_size 0.73 0.39 0.21
pool_size 1.19 0.35 0.21
conv_activation 0.22 0.20 0.10
conv_dropout_rate 1.01 0.48 0.47
n_conv_layers 3.70 25.85 28.09
n_dense_nodes 0.72 1.65 0.40
dense_activation 1.26 0.21 0.40
dense_dropout_rate 1.04 0.26 0.72
n_dense_layers 0.69 0.13 0.67
batch_size 1.56 1.35 2.95
cifar10 DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 38.26 0.19 0.22
learning_rate 5.90 12.42 10.19
loss 0.10 0.06 0.02
n_dense_nodes 2.69 10.44 1.63
dense_activation 3.52 0.34 0.55
dense_dropout_rate 0.78 0.21 0.41
n_dense_layers 2.70 4.97 24.78
batch_size 1.91 51.12 40.17
mnist CNNModel
Hyperparameter Performance Training Time Inference Time
optimizer 33.23 0.20 0.28
learning_rate 5.29 3.54 3.62
loss 0.20 0.01 0.04
n_kernels 0.96 1.05 0.40
kernel_size 0.12 0.02 0.16
pool_size 1.62 0.51 1.30
conv_activation 0.31 0.14 0.63
conv_dropout_rate 2.66 0.60 1.06
n_conv_layers 3.55 1.71 15.56
n_dense_nodes 3.73 6.20 1.05
dense_activation 2.24 0.07 0.93
dense_dropout_rate 2.66 0.14 0.19
n_dense_layers 1.75 1.14 6.08
batch_size 3.03 56.68 37.87
mnist DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 31.73 0.33 0.10
learning_rate 6.11 10.85 12.49
loss 0.31 0.19 0.04
n_dense_nodes 1.86 8.33 0.81
dense_activation 2.75 0.08 0.36
dense_dropout_rate 0.67 0.19 0.32
n_dense_layers 12.73 5.12 15.94
batch_size 2.77 54.65 52.95
fashion_mnist CNNModel
Hyperparameter Performance Training Time Inference Time
optimizer 34.55 0.14 0.14
learning_rate 7.99 3.23 2.20
loss 0.15 0.01 0.03
n_kernels 1.87 0.64 0.39
kernel_size 0.57 0.03 0.35
pool_size 2.01 0.30 1.22
conv_activation 0.96 0.30 0.24
conv_dropout_rate 0.89 1.45 0.65
n_conv_layers 1.13 1.36 14.14
n_dense_nodes 2.63 5.45 0.82
dense_activation 0.69 0.05 0.15
dense_dropout_rate 1.13 0.12 0.14
n_dense_layers 5.81 1.85 6.34
batch_size 1.93 58.98 49.81
fashion_mnist DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 28.66 0.23 0.24
learning_rate 6.78 10.04 14.26
loss 0.22 0.15 0.03
n_dense_nodes 1.70 8.65 0.79
dense_activation 1.05 0.29 0.36
dense_dropout_rate 1.61 0.18 0.28
n_dense_layers 12.91 3.84 19.46
batch_size 2.87 57.59 46.24
cifar100 CNNModel
Hyperparameter Performance Training Time Inference Time
optimizer 43.01 0.61 1.00
learning_rate 3.47 2.32 3.66
loss 0.13 0.05 0.07
n_kernels 0.48 26.84 12.62
kernel_size 0.66 0.24 0.60
pool_size 0.37 0.24 0.33
conv_activation 0.61 0.16 0.93
conv_dropout_rate 0.84 0.36 0.84
n_conv_layers 4.80 25.23 15.69
n_dense_nodes 0.97 2.60 2.32
dense_activation 1.03 0.14 0.48
dense_dropout_rate 0.82 0.55 1.11
n_dense_layers 1.03 0.22 1.92
batch_size 1.10 4.24 9.34
cifar100 DenseModel
Hyperparameter Performance Training Time Inference Time
optimizer 29.58 0.53 0.35
learning_rate 8.88 21.45 13.25
loss 0.20 0.02 0.04
n_dense_nodes 2.05 7.07 0.73
dense_activation 2.12 0.14 0.49
dense_dropout_rate 3.93 0.23 0.71
n_dense_layers 5.20 5.17 19.66
batch_size 3.21 46.94 44.80