Run
10228062

Run 10228062

Task 31 (Supervised Classification) credit-g Uploaded 16-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.fd9ace95f549c34b(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.73b8323deb188d93(1)_in_features20
torch.nn.modules.linear.Linear.73b8323deb188d93(1)_out_features64
torch.nn.modules.activation.ReLU.f3ba798a72fcb156(1)_inplacefalse
torch.nn.modules.dropout.Dropout.a421efabd70aaf10(1)_inplacefalse
torch.nn.modules.dropout.Dropout.a421efabd70aaf10(1)_p0.5
torch.nn.modules.linear.Linear.c2f61bf419046387(1)_in_features64
torch.nn.modules.linear.Linear.c2f61bf419046387(1)_out_features64
torch.nn.modules.activation.ReLU.2aac3ac2d374d568(1)_inplacefalse
torch.nn.modules.dropout.Dropout.2d5f1da4f1b0627(1)_inplacefalse
torch.nn.modules.dropout.Dropout.2d5f1da4f1b0627(1)_p0.5
torch.nn.modules.linear.Linear.a99a7ed31fb59eb3(1)_in_features64
torch.nn.modules.linear.Linear.a99a7ed31fb59eb3(1)_out_features2
torch.nn.modules.activation.Softmax.b2b2cacf10b6a3ce(1)_dim0

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.

17 Evaluation measures

Area under ROC curve
0.5031 ± 0.0306
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5863 ± 0.041
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0015 ± 0.0573
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-314.6371 ± 19.1394
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3645 ± 0.0268
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)
Precision
0.5806 ± 0.0259
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.593 ± 0.0627
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.593 ± 0.0627
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8675 ± 0.0638
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6034 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3168 ± 0.0494
Cross-validation details (10-fold Crossvalidation)