Run
10228760

Run 10228760

Task 31 (Supervised Classification) credit-g Uploaded 21-06-2019 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.9d1dba7588ebb40a(1)Automatically created pytorch flow.
torch.nn.modules.container.Sequential.9d1dba7588ebb40a(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.modules.linear.Linear.9b26ac34f661aafc(1)_in_features20
torch.nn.modules.linear.Linear.9b26ac34f661aafc(1)_out_features256
torch.nn.modules.activation.LeakyReLU.e2095efddeae362b(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.e2095efddeae362b(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.7407d712acb6ca77(1)_inplacefalse
torch.nn.modules.dropout.Dropout.7407d712acb6ca77(1)_p0.5
torch.nn.modules.linear.Linear.731afdf7d57218a7(1)_in_features256
torch.nn.modules.linear.Linear.731afdf7d57218a7(1)_out_features2

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
0.482 ± 0.029
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2339 ± 0
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.714 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5477 ± 0
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1952 ± 0
Cross-validation details (10-fold Crossvalidation)