Run
10228166

Run 10228166

Task 3573 (Supervised Classification) mnist_784 Uploaded 22-05-2019 by Adrian-Stefan Mares
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

torch.nn.modules.container.Sequential.76a66495193bbf33(1)Automatically created pytorch flow.
torch.nn.modules.container.Sequential.76a66495193bbf33(1)_children[{"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": "0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": "1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": "2"}}]
torch.nn.modules.container.Sequential.5cd5f51d8bb8a600(1)_children[{"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": "0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": "1"}}]
openml.extensions.pytorch.layers.functional.Functional.82a28fd1728be65f(1)_args[]
openml.extensions.pytorch.layers.functional.Functional.82a28fd1728be65f(1)_function{"oml-python:serialized_object": "methoddescriptor", "value": "torch._C._TensorBase.reshape"}
openml.extensions.pytorch.layers.functional.Functional.82a28fd1728be65f(1)_kwargs{"shape": [-1, 1, 28, 28]}
torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b(1)_affinetrue
torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b(1)_eps1e-05
torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b(1)_momentum0.1
torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b(1)_num_features1
torch.nn.modules.batchnorm.BatchNorm2d.e999ad8455297f8b(1)_track_running_statstrue
torch.nn.modules.container.Sequential.aae74a8f9841de32(1)_children[{"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": "0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": "1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": "2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": "3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": "4"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "5", "step_name": "5"}}]
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_dilation[1, 1]
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_groups1
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_in_channels1
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_kernel_size[5, 5]
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_out_channels32
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_padding[0, 0]
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_padding_mode"zeros"
torch.nn.modules.conv.Conv2d.ca8e26a787230896(1)_stride[1, 1]
torch.nn.modules.activation.LeakyReLU.34e87239c9361b27(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.34e87239c9361b27(1)_negative_slope0.01
torch.nn.modules.pooling.MaxPool2d.ee5df0a1d6fa36f3(1)_ceil_modefalse
torch.nn.modules.pooling.MaxPool2d.ee5df0a1d6fa36f3(1)_dilation1
torch.nn.modules.pooling.MaxPool2d.ee5df0a1d6fa36f3(1)_kernel_size2
torch.nn.modules.pooling.MaxPool2d.ee5df0a1d6fa36f3(1)_padding0
torch.nn.modules.pooling.MaxPool2d.ee5df0a1d6fa36f3(1)_return_indicesfalse
torch.nn.modules.pooling.MaxPool2d.ee5df0a1d6fa36f3(1)_stride2
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_dilation[1, 1]
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_groups1
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_in_channels32
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_kernel_size[5, 5]
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_out_channels64
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_padding[0, 0]
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_padding_mode"zeros"
torch.nn.modules.conv.Conv2d.111f54c3bafade69(1)_stride[1, 1]
torch.nn.modules.activation.LeakyReLU.7d0779e43f1d3cd3(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.7d0779e43f1d3cd3(1)_negative_slope0.01
torch.nn.modules.pooling.MaxPool2d.6ff55af3493ed6f8(1)_ceil_modefalse
torch.nn.modules.pooling.MaxPool2d.6ff55af3493ed6f8(1)_dilation1
torch.nn.modules.pooling.MaxPool2d.6ff55af3493ed6f8(1)_kernel_size2
torch.nn.modules.pooling.MaxPool2d.6ff55af3493ed6f8(1)_padding0
torch.nn.modules.pooling.MaxPool2d.6ff55af3493ed6f8(1)_return_indicesfalse
torch.nn.modules.pooling.MaxPool2d.6ff55af3493ed6f8(1)_stride2
torch.nn.modules.container.Sequential.7d244eb7741117dc(1)_children[{"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": "0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": "1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": "2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": "3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": "4"}}]
openml.extensions.pytorch.layers.functional.Functional.1874255bf6a003d3(1)_args[]
openml.extensions.pytorch.layers.functional.Functional.1874255bf6a003d3(1)_function{"oml-python:serialized_object": "methoddescriptor", "value": "torch._C._TensorBase.reshape"}
openml.extensions.pytorch.layers.functional.Functional.1874255bf6a003d3(1)_kwargs{"shape": [-1, 1024]}
torch.nn.modules.linear.Linear.917e92dc3dea6141(1)_in_features1024
torch.nn.modules.linear.Linear.917e92dc3dea6141(1)_out_features256
torch.nn.modules.activation.LeakyReLU.d5e8a926feb9c003(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.d5e8a926feb9c003(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.6540d19260434914(1)_inplacefalse
torch.nn.modules.dropout.Dropout.6540d19260434914(1)_p0.5
torch.nn.modules.linear.Linear.7d453b4fe14fca36(1)_in_features256
torch.nn.modules.linear.Linear.7d453b4fe14fca36(1)_out_features10

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

0.9557 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
0.6004 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
9888.0891 ± 9.5329
Cross-validation details (10-fold Crossvalidation)
0.1717 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
70000
Per class
Cross-validation details (10-fold Crossvalidation)
0.6407 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
3.3198
Cross-validation details (10-fold Crossvalidation)
0.6407 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
0.9542 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2872 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.9574 ± 0.0005
Cross-validation details (10-fold Crossvalidation)