Run
10228095

Run 10228095

Task 52948 (Supervised Regression) liver-disorders Uploaded 17-05-2019 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.75045b409e7cfb79(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.1c310e1637dc3e9d(1)_in_features5
torch.nn.modules.linear.Linear.1c310e1637dc3e9d(1)_out_features256
torch.nn.modules.activation.ReLU.7b1df702a7777c92(1)_inplacefalse
torch.nn.modules.activation.ReLU.7fbd88cd74320d18(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f2a6473ecb139b1e(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f2a6473ecb139b1e(1)_p0.5
torch.nn.modules.linear.Linear.e2037f85bdc27960(1)_in_features64
torch.nn.modules.linear.Linear.e2037f85bdc27960(1)_out_features1
torch.nn.modules.dropout.Dropout.97324f0497afa76c(1)_inplacefalse
torch.nn.modules.dropout.Dropout.97324f0497afa76c(1)_p0.5
torch.nn.modules.linear.Linear.114cf78da5d8eb91(1)_in_features256
torch.nn.modules.linear.Linear.114cf78da5d8eb91(1)_out_features256
torch.nn.modules.activation.ReLU.fc39b45f1349f9c9(1)_inplacefalse
torch.nn.modules.dropout.Dropout.47b248094f781672(1)_inplacefalse
torch.nn.modules.dropout.Dropout.47b248094f781672(1)_p0.5
torch.nn.modules.linear.Linear.b8e74493a368e(1)_in_features256
torch.nn.modules.linear.Linear.b8e74493a368e(1)_out_features128
torch.nn.modules.activation.ReLU.76ecb098da1f320d(1)_inplacefalse
torch.nn.modules.dropout.Dropout.590cc83155608284(1)_inplacefalse
torch.nn.modules.dropout.Dropout.590cc83155608284(1)_p0.5
torch.nn.modules.linear.Linear.732f410794d2220(1)_in_features128
torch.nn.modules.linear.Linear.732f410794d2220(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

2.7622 ± 0.4617
Cross-validation details (10-fold Crossvalidation)
2.623 ± 0.3396
Cross-validation details (10-fold Crossvalidation)
345
Cross-validation details (10-fold Crossvalidation)
1.0531 ± 0.1449
Cross-validation details (10-fold Crossvalidation)
3.333 ± 0.5467
Cross-validation details (10-fold Crossvalidation)
4.0073 ± 0.7652
Cross-validation details (10-fold Crossvalidation)
1.2023 ± 0.1119
Cross-validation details (10-fold Crossvalidation)