Run
10228094

Run 10228094

Task 52948 (Supervised Regression) liver-disorders Uploaded 17-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.4a87fa3ac6006ad(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.aa2a12f9d110fc50(1)_in_features5
torch.nn.modules.linear.Linear.aa2a12f9d110fc50(1)_out_features256
torch.nn.modules.activation.ReLU.b4fbfa37f1aac003(1)_inplacefalse
torch.nn.modules.activation.ReLU.69ef88587cb30478(1)_inplacefalse
torch.nn.modules.dropout.Dropout.c2673dbe4e57a7c6(1)_inplacefalse
torch.nn.modules.dropout.Dropout.c2673dbe4e57a7c6(1)_p0.5
torch.nn.modules.linear.Linear.53ea07607eaf6e20(1)_in_features64
torch.nn.modules.linear.Linear.53ea07607eaf6e20(1)_out_features1
torch.nn.modules.dropout.Dropout.6811e8758fcd62eb(1)_inplacefalse
torch.nn.modules.dropout.Dropout.6811e8758fcd62eb(1)_p0.5
torch.nn.modules.linear.Linear.3a7a4357376d1fe0(1)_in_features256
torch.nn.modules.linear.Linear.3a7a4357376d1fe0(1)_out_features256
torch.nn.modules.activation.ReLU.5370d67fdc7a1b14(1)_inplacefalse
torch.nn.modules.dropout.Dropout.66d0a4ed79313ed2(1)_inplacefalse
torch.nn.modules.dropout.Dropout.66d0a4ed79313ed2(1)_p0.5
torch.nn.modules.linear.Linear.5ee7d04c8e2aea4d(1)_in_features256
torch.nn.modules.linear.Linear.5ee7d04c8e2aea4d(1)_out_features128
torch.nn.modules.activation.ReLU.84ac2c4c5cce571a(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f799cd10d1b93cff(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f799cd10d1b93cff(1)_p0.5
torch.nn.modules.linear.Linear.18e9884b5df3f7cd(1)_in_features128
torch.nn.modules.linear.Linear.18e9884b5df3f7cd(1)_out_features64

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

2.7931 ± 0.4275
Cross-validation details (10-fold Crossvalidation)
2.623 ± 0.3396
Cross-validation details (10-fold Crossvalidation)
345
Cross-validation details (10-fold Crossvalidation)
1.0649 ± 0.1388
Cross-validation details (10-fold Crossvalidation)
3.333 ± 0.5467
Cross-validation details (10-fold Crossvalidation)
4.0484 ± 0.7268
Cross-validation details (10-fold Crossvalidation)
1.2147 ± 0.1044
Cross-validation details (10-fold Crossvalidation)