Run
10228089

Run 10228089

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

torch.nn.modules.container.Sequential.744cd1aded844f69(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.6ad164f7dec18572(1)_in_features5
torch.nn.modules.linear.Linear.6ad164f7dec18572(1)_out_features256
torch.nn.modules.activation.ReLU.17453a03f8640d0c(1)_inplacefalse
torch.nn.modules.activation.ReLU.ff0a36718c728375(1)_inplacefalse
torch.nn.modules.dropout.Dropout.8943d36e29da8184(1)_inplacefalse
torch.nn.modules.dropout.Dropout.8943d36e29da8184(1)_p0.5
torch.nn.modules.linear.Linear.9977ec5f7f1af8ea(1)_in_features64
torch.nn.modules.linear.Linear.9977ec5f7f1af8ea(1)_out_features1
torch.nn.modules.dropout.Dropout.de0302edca59b7ea(1)_inplacefalse
torch.nn.modules.dropout.Dropout.de0302edca59b7ea(1)_p0.5
torch.nn.modules.linear.Linear.4f20e08bab7bef9b(1)_in_features256
torch.nn.modules.linear.Linear.4f20e08bab7bef9b(1)_out_features256
torch.nn.modules.activation.ReLU.52b10234c2e80f81(1)_inplacefalse
torch.nn.modules.dropout.Dropout.2389afad2ef182c8(1)_inplacefalse
torch.nn.modules.dropout.Dropout.2389afad2ef182c8(1)_p0.5
torch.nn.modules.linear.Linear.eff6849a40227278(1)_in_features256
torch.nn.modules.linear.Linear.eff6849a40227278(1)_out_features128
torch.nn.modules.activation.ReLU.8c90688e9644dd2d(1)_inplacefalse
torch.nn.modules.dropout.Dropout.51d8fb9ddeb2abd1(1)_inplacefalse
torch.nn.modules.dropout.Dropout.51d8fb9ddeb2abd1(1)_p0.5
torch.nn.modules.linear.Linear.e57db3c5b8db811(1)_in_features128
torch.nn.modules.linear.Linear.e57db3c5b8db811(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

2.719 ± 0.4077
Cross-validation details (10-fold Crossvalidation)
2.623 ± 0.3396
Cross-validation details (10-fold Crossvalidation)
345
Cross-validation details (10-fold Crossvalidation)
1.0366 ± 0.1255
Cross-validation details (10-fold Crossvalidation)
3.333 ± 0.5467
Cross-validation details (10-fold Crossvalidation)
3.8662 ± 0.664
Cross-validation details (10-fold Crossvalidation)
1.16 ± 0.1068
Cross-validation details (10-fold Crossvalidation)