Run
10228079

Run 10228079

Task 3954 (Supervised Classification) MagicTelescope Uploaded 16-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.a57929b9edd9487a(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.7cc6d077fb1a830a(1)_in_features10
torch.nn.modules.linear.Linear.7cc6d077fb1a830a(1)_out_features256
torch.nn.modules.activation.ReLU.9ffd12f1da68cd96(1)_inplacefalse
torch.nn.modules.dropout.Dropout.8e1d6cd5261f6f27(1)_inplacefalse
torch.nn.modules.dropout.Dropout.8e1d6cd5261f6f27(1)_p0.5
torch.nn.modules.linear.Linear.bc590ca42e06e6b(1)_in_features256
torch.nn.modules.linear.Linear.bc590ca42e06e6b(1)_out_features2
torch.nn.modules.activation.ReLU.4f5ad31f61c2c621(1)_inplacefalse

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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3771.4697 ± 0.5635
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3516 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6484 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.6484 ± 0.0002
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7712 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.593 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2419 ± 0.0002
Cross-validation details (10-fold Crossvalidation)