Run
10452576

Run 10452576

Task 2295 (Supervised Regression) cholesterol Uploaded 21-04-2020 by Prabhant Singh
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Flow

torch.nn.modules.container.Sequential.e661c6d4bfeb5869(1)Automatically created pytorch flow.
torch.nn.modules.container.Sequential.e661c6d4bfeb5869(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"}}]
torch.nn.modules.linear.Linear.27e49b0282ce3d81(1)_in_features13
torch.nn.modules.linear.Linear.27e49b0282ce3d81(1)_out_features256
torch.nn.modules.activation.LeakyReLU.c078a8d8e85fc1e(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.c078a8d8e85fc1e(1)_negative_slope0.01
torch.nn.modules.activation.LeakyReLU.38494e0950e89dce(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.38494e0950e89dce(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.61ae039ce3f43de(1)_inplacefalse
torch.nn.modules.dropout.Dropout.61ae039ce3f43de(1)_p0.5
torch.nn.modules.linear.Linear.d969269d30ed5c2(1)_in_features256
torch.nn.modules.linear.Linear.d969269d30ed5c2(1)_out_features1

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.

7 Evaluation measures

42.7599 ± 4.6161
Cross-validation details (10-fold Crossvalidation)
39.3139 ± 6.092
Cross-validation details (10-fold Crossvalidation)
303
Cross-validation details (10-fold Crossvalidation)
1.0877 ± 0.1457
Cross-validation details (10-fold Crossvalidation)
51.6914 ± 10.5853
Cross-validation details (10-fold Crossvalidation)
54.096 ± 8.3885
Cross-validation details (10-fold Crossvalidation)
1.0465 ± 0.1198
Cross-validation details (10-fold Crossvalidation)