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10595095

Run 10595095

Task 362070 (Supervised Classification) IndoorScenes Uploaded 22-04-2024 by Taniya D
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  • openml-python Torch_2.1.2_cu121.
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Flow

torch.nn.Model2.a524e7d6f2f5accd(1)Automatically created pytorch flow.
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torch.nn.BatchNorm2d.8c3266ec68cb286(1)_momentum0.1
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torch.nn.Conv2d.308bad5fef708abf(1)_biasnull
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torch.nn.Conv2d.308bad5fef708abf(1)_in_channels192
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torch.nn.Conv2d.308bad5fef708abf(1)_out_channels192
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torch.nn.Conv2d.f7768b52b06d9be3(1)_in_channels192
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torch.nn.BatchNorm2d.e805ad658e477490(1)_track_running_statstrue
torch.nn.ReLU6.ed08519ab46621a3(1)_inplacetrue
torch.nn.Conv2d.1b623b50c45140dd(1)_biasnull
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torch.nn.Conv2d.1b623b50c45140dd(1)_padding[0, 0]
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torch.nn.InvertedResidual.ab7b99411a6adedf(1)_stride1
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torch.nn.Conv2d.61622720ced9751a(1)_biasnull
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torch.nn.Conv2d.61622720ced9751a(1)_groups1
torch.nn.Conv2d.61622720ced9751a(1)_in_channels64
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torch.nn.Conv2d.61622720ced9751a(1)_padding_mode"zeros"
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torch.nn.BatchNorm2d.904ed136c1d74770(1)_affinetrue
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torch.nn.BatchNorm2d.904ed136c1d74770(1)_momentum0.1
torch.nn.BatchNorm2d.904ed136c1d74770(1)_num_features384
torch.nn.BatchNorm2d.904ed136c1d74770(1)_track_running_statstrue
torch.nn.ReLU6.d1c01188a23cd7cd(1)_inplacetrue
torch.nn.Conv2dNormActivation.fd287b66db860d5e(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.Conv2d.cd7e6d1655a9cfb5(1)_biasnull
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_dilation[1, 1]
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_groups384
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_in_channels384
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_kernel_size[3, 3]
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_out_channels384
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_padding[1, 1]
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_padding_mode"zeros"
torch.nn.Conv2d.cd7e6d1655a9cfb5(1)_stride[1, 1]
torch.nn.BatchNorm2d.4bce8db94d50fa2(1)_affinetrue
torch.nn.BatchNorm2d.4bce8db94d50fa2(1)_eps1e-05
torch.nn.BatchNorm2d.4bce8db94d50fa2(1)_momentum0.1
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torch.nn.ReLU6.8afb5fd526dac5c4(1)_inplacetrue
torch.nn.Conv2d.f6306dab712ebfaf(1)_biasnull
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torch.nn.Conv2d.f6306dab712ebfaf(1)_groups1
torch.nn.Conv2d.f6306dab712ebfaf(1)_in_channels384
torch.nn.Conv2d.f6306dab712ebfaf(1)_kernel_size[1, 1]
torch.nn.Conv2d.f6306dab712ebfaf(1)_out_channels64
torch.nn.Conv2d.f6306dab712ebfaf(1)_padding[0, 0]
torch.nn.Conv2d.f6306dab712ebfaf(1)_padding_mode"zeros"
torch.nn.Conv2d.f6306dab712ebfaf(1)_stride[1, 1]
torch.nn.BatchNorm2d.4eb1f98e787f34be(1)_affinetrue
torch.nn.BatchNorm2d.4eb1f98e787f34be(1)_eps1e-05
torch.nn.BatchNorm2d.4eb1f98e787f34be(1)_momentum0.1
torch.nn.BatchNorm2d.4eb1f98e787f34be(1)_num_features64
torch.nn.BatchNorm2d.4eb1f98e787f34be(1)_track_running_statstrue
torch.nn.InvertedResidual.2ef1fce4f4786e8(1)_stride1
torch.nn.Sequential.5bfae72dfe87a674(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"}}]
torch.nn.Conv2dNormActivation.bcc7775fc5d77d75(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.Conv2d.fdab120f2f3150b2(1)_biasnull
torch.nn.Conv2d.fdab120f2f3150b2(1)_dilation[1, 1]
torch.nn.Conv2d.fdab120f2f3150b2(1)_groups1
torch.nn.Conv2d.fdab120f2f3150b2(1)_in_channels64
torch.nn.Conv2d.fdab120f2f3150b2(1)_kernel_size[1, 1]
torch.nn.Conv2d.fdab120f2f3150b2(1)_out_channels384
torch.nn.Conv2d.fdab120f2f3150b2(1)_padding[0, 0]
torch.nn.Conv2d.fdab120f2f3150b2(1)_padding_mode"zeros"
torch.nn.Conv2d.fdab120f2f3150b2(1)_stride[1, 1]
torch.nn.BatchNorm2d.7ab2e782355c9f18(1)_affinetrue
torch.nn.BatchNorm2d.7ab2e782355c9f18(1)_eps1e-05
torch.nn.BatchNorm2d.7ab2e782355c9f18(1)_momentum0.1
torch.nn.BatchNorm2d.7ab2e782355c9f18(1)_num_features384
torch.nn.BatchNorm2d.7ab2e782355c9f18(1)_track_running_statstrue
torch.nn.ReLU6.e30477fb57be238a(1)_inplacetrue
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torch.nn.Conv2d.b670f8239ae6b59(1)_biasnull
torch.nn.Conv2d.b670f8239ae6b59(1)_dilation[1, 1]
torch.nn.Conv2d.b670f8239ae6b59(1)_groups384
torch.nn.Conv2d.b670f8239ae6b59(1)_in_channels384
torch.nn.Conv2d.b670f8239ae6b59(1)_kernel_size[3, 3]
torch.nn.Conv2d.b670f8239ae6b59(1)_out_channels384
torch.nn.Conv2d.b670f8239ae6b59(1)_padding[1, 1]
torch.nn.Conv2d.b670f8239ae6b59(1)_padding_mode"zeros"
torch.nn.Conv2d.b670f8239ae6b59(1)_stride[1, 1]
torch.nn.BatchNorm2d.24c985f2c43fb35b(1)_affinetrue
torch.nn.BatchNorm2d.24c985f2c43fb35b(1)_eps1e-05
torch.nn.BatchNorm2d.24c985f2c43fb35b(1)_momentum0.1
torch.nn.BatchNorm2d.24c985f2c43fb35b(1)_num_features384
torch.nn.BatchNorm2d.24c985f2c43fb35b(1)_track_running_statstrue
torch.nn.ReLU6.3f169cdf17f425d(1)_inplacetrue
torch.nn.Conv2d.437bd7e5f732ecd(1)_biasnull
torch.nn.Conv2d.437bd7e5f732ecd(1)_dilation[1, 1]
torch.nn.Conv2d.437bd7e5f732ecd(1)_groups1
torch.nn.Conv2d.437bd7e5f732ecd(1)_in_channels384
torch.nn.Conv2d.437bd7e5f732ecd(1)_kernel_size[1, 1]
torch.nn.Conv2d.437bd7e5f732ecd(1)_out_channels64
torch.nn.Conv2d.437bd7e5f732ecd(1)_padding[0, 0]
torch.nn.Conv2d.437bd7e5f732ecd(1)_padding_mode"zeros"
torch.nn.Conv2d.437bd7e5f732ecd(1)_stride[1, 1]
torch.nn.BatchNorm2d.643b0864cf57645(1)_affinetrue
torch.nn.BatchNorm2d.643b0864cf57645(1)_eps1e-05
torch.nn.BatchNorm2d.643b0864cf57645(1)_momentum0.1
torch.nn.BatchNorm2d.643b0864cf57645(1)_num_features64
torch.nn.BatchNorm2d.643b0864cf57645(1)_track_running_statstrue
torch.nn.Sequential.6a1fb84ce40b7eb3(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"}}]
torch.nn.Linear.c28548a45408125a(1)_in_features1280
torch.nn.Linear.c28548a45408125a(1)_out_features67
torch.nn.Softmax.e25b3a238ad740ae(1)_dim1
torch.nn.AdaptiveAvgPool2d.68f1fbe6b717ca9c(1)_output_size1

Result files

xml
Description

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

onnx
Onnx model

arff
Predictions

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

16 Evaluation measures

0.4999 ± 0.0018
Per class
Cross-validation details (3-fold Crossvalidation)
0.0008 ± 0.0012
Cross-validation details (3-fold Crossvalidation)
0.0467 ± 0.0009
Cross-validation details (3-fold Crossvalidation)
0.0294 ± 0
Cross-validation details (3-fold Crossvalidation)
0.0292 ± 0
Cross-validation details (3-fold Crossvalidation)
0.0307 ± 0.0075
Cross-validation details (3-fold Crossvalidation)
15620
Per class
Cross-validation details (3-fold Crossvalidation)
0.0307 ± 0.0075
Cross-validation details (3-fold Crossvalidation)
5.7539 ± 0.0007
Cross-validation details (3-fold Crossvalidation)
1.0075 ± 0.0002
Cross-validation details (3-fold Crossvalidation)
0.1208 ± 0
Cross-validation details (3-fold Crossvalidation)
0.1212 ± 0
Cross-validation details (3-fold Crossvalidation)
1.0039 ± 0.0002
Cross-validation details (3-fold Crossvalidation)
0.0155 ± 0.0009
Cross-validation details (3-fold Crossvalidation)