Run
10228113

Run 10228113

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

torch.nn.modules.container.Sequential.e601db6acb260940(1)Automatically created pytorch flow.
torch.nn.modules.batchnorm.BatchNorm1d.b3a81258804723b6(1)_affinetrue
torch.nn.modules.batchnorm.BatchNorm1d.b3a81258804723b6(1)_eps1e-05
torch.nn.modules.batchnorm.BatchNorm1d.b3a81258804723b6(1)_momentum0.1
torch.nn.modules.batchnorm.BatchNorm1d.b3a81258804723b6(1)_num_features5
torch.nn.modules.batchnorm.BatchNorm1d.b3a81258804723b6(1)_track_running_statstrue
torch.nn.modules.linear.Linear.3b62ea4bc0ace661(1)_in_features5
torch.nn.modules.linear.Linear.3b62ea4bc0ace661(1)_out_features32
torch.nn.modules.activation.ReLU.fe3264e6c7d4184c(1)_inplacefalse
torch.nn.modules.dropout.Dropout.7c269b09a3919722(1)_inplacefalse
torch.nn.modules.dropout.Dropout.7c269b09a3919722(1)_p0.5
torch.nn.modules.linear.Linear.4c4056ddf8131dcf(1)_in_features32
torch.nn.modules.linear.Linear.4c4056ddf8131dcf(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
3.242 ± 0.5369
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
1.236 ± 0.183
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
4.6313 ± 0.7443
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3895 ± 0.1159
Cross-validation details (10-fold Crossvalidation)