Run
10228114

Run 10228114

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

torch.nn.modules.container.Sequential.5c9557966132a158(1)Automatically created pytorch flow.
torch.nn.modules.batchnorm.BatchNorm1d.33f5334a9bb94aeb(1)_affinetrue
torch.nn.modules.batchnorm.BatchNorm1d.33f5334a9bb94aeb(1)_eps1e-05
torch.nn.modules.batchnorm.BatchNorm1d.33f5334a9bb94aeb(1)_momentum0.1
torch.nn.modules.batchnorm.BatchNorm1d.33f5334a9bb94aeb(1)_num_features5
torch.nn.modules.batchnorm.BatchNorm1d.33f5334a9bb94aeb(1)_track_running_statstrue
torch.nn.modules.linear.Linear.dc3972b5d08d78cd(1)_in_features5
torch.nn.modules.linear.Linear.dc3972b5d08d78cd(1)_out_features32
torch.nn.modules.activation.ReLU.acb770ad8da4b31(1)_inplacefalse
torch.nn.modules.dropout.Dropout.a4f76b08fb58d66(1)_inplacefalse
torch.nn.modules.dropout.Dropout.a4f76b08fb58d66(1)_p0.5
torch.nn.modules.linear.Linear.397367ab4841601(1)_in_features32
torch.nn.modules.linear.Linear.397367ab4841601(1)_out_features1

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

Mean absolute error
2.9592 ± 0.5028
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
2.623 ± 0.3396
Cross-validation details (10-fold Crossvalidation)
Number of instances
345
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1282 ± 0.1759
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
3.333 ± 0.5467
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
4.4087 ± 0.7231
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3227 ± 0.0989
Cross-validation details (10-fold Crossvalidation)