Run
10228123

Run 10228123

Task 75098 (Supervised Classification) mnist_784 Uploaded 17-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.8c3a95155fc87a0(1)Automatically created pytorch flow.
openml.extensions.pytorch.layers.reshape.Reshape.94a17fbcedded50a(1)_shape[-1, 1, 28, 28]
torch.nn.modules.batchnorm.BatchNorm2d.55cf6b536603a910(1)_affinetrue
torch.nn.modules.batchnorm.BatchNorm2d.55cf6b536603a910(1)_eps1e-05
torch.nn.modules.batchnorm.BatchNorm2d.55cf6b536603a910(1)_momentum0.1
torch.nn.modules.batchnorm.BatchNorm2d.55cf6b536603a910(1)_num_features1
torch.nn.modules.batchnorm.BatchNorm2d.55cf6b536603a910(1)_track_running_statstrue
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_dilation[1, 1]
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_groups1
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_in_channels1
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_kernel_size[5, 5]
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_out_channels32
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_padding[0, 0]
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_padding_mode"zeros"
torch.nn.modules.conv.Conv2d.44ce9c3b5df07e4e(1)_stride[1, 1]
torch.nn.modules.activation.ReLU.a921647b8ea05162(1)_inplacefalse
torch.nn.modules.pooling.MaxPool2d.f3a0ee9c9c882c06(1)_ceil_modefalse
torch.nn.modules.pooling.MaxPool2d.f3a0ee9c9c882c06(1)_dilation1
torch.nn.modules.pooling.MaxPool2d.f3a0ee9c9c882c06(1)_kernel_size2
torch.nn.modules.pooling.MaxPool2d.f3a0ee9c9c882c06(1)_padding0
torch.nn.modules.pooling.MaxPool2d.f3a0ee9c9c882c06(1)_return_indicesfalse
torch.nn.modules.pooling.MaxPool2d.f3a0ee9c9c882c06(1)_stride2
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_dilation[1, 1]
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_groups1
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_in_channels32
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_kernel_size[5, 5]
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_out_channels64
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_padding[0, 0]
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_padding_mode"zeros"
torch.nn.modules.conv.Conv2d.bd78506888835699(1)_stride[1, 1]
torch.nn.modules.activation.ReLU.78ef3b7b219cca88(1)_inplacefalse
torch.nn.modules.pooling.MaxPool2d.83eefc6a258a61f6(1)_ceil_modefalse
torch.nn.modules.pooling.MaxPool2d.83eefc6a258a61f6(1)_dilation1
torch.nn.modules.pooling.MaxPool2d.83eefc6a258a61f6(1)_kernel_size2
torch.nn.modules.pooling.MaxPool2d.83eefc6a258a61f6(1)_padding0
torch.nn.modules.pooling.MaxPool2d.83eefc6a258a61f6(1)_return_indicesfalse
torch.nn.modules.pooling.MaxPool2d.83eefc6a258a61f6(1)_stride2
openml.extensions.pytorch.layers.reshape.Reshape.9a1224989a18c8e3(1)_shape[-1, 1024]
torch.nn.modules.linear.Linear.f9bf21a06ab57737(1)_in_features1024
torch.nn.modules.linear.Linear.f9bf21a06ab57737(1)_out_features256
torch.nn.modules.activation.ReLU.7112f041e9a6ec47(1)_inplacefalse
torch.nn.modules.dropout.Dropout.a4ba695846379e77(1)_inplacefalse
torch.nn.modules.dropout.Dropout.a4ba695846379e77(1)_p0.5
torch.nn.modules.linear.Linear.5abf531e82099c3e(1)_in_features256
torch.nn.modules.linear.Linear.5abf531e82099c3e(1)_out_features10
torch.nn.modules.activation.ReLU.8cd7aa8d6cabbfe0(1)_inplacefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

15 Evaluation measures

Area under ROC curve
0.8936
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7867
Cross-validation details (33% Holdout set)
KB relative information score
18362.1808
Cross-validation details (33% Holdout set)
Mean absolute error
0.0383
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1799
Cross-validation details (33% Holdout set)
Number of instances
23100
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8083
Cross-validation details (33% Holdout set)
Prior entropy
3.3198
Cross-validation details (33% Holdout set)
Recall
0.8083
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2131
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.1958
Cross-validation details (33% Holdout set)
Root relative squared error
0.6528
Cross-validation details (33% Holdout set)