Run
10228115

Run 10228115

Task 2295 (Supervised Regression) cholesterol Uploaded 17-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.77c37292b030e991(1)Automatically created pytorch flow.
torch.nn.modules.batchnorm.BatchNorm1d.87b0ccfbc04b9beb(1)_affinetrue
torch.nn.modules.batchnorm.BatchNorm1d.87b0ccfbc04b9beb(1)_eps1e-05
torch.nn.modules.batchnorm.BatchNorm1d.87b0ccfbc04b9beb(1)_momentum0.1
torch.nn.modules.batchnorm.BatchNorm1d.87b0ccfbc04b9beb(1)_num_features13
torch.nn.modules.batchnorm.BatchNorm1d.87b0ccfbc04b9beb(1)_track_running_statstrue
torch.nn.modules.linear.Linear.d0f9198e7122abd(1)_in_features13
torch.nn.modules.linear.Linear.d0f9198e7122abd(1)_out_features256
torch.nn.modules.linear.Linear.2b19c8de426d2ead(1)_in_features64
torch.nn.modules.linear.Linear.2b19c8de426d2ead(1)_out_features32
torch.nn.modules.activation.ReLU.41be3d9cc29bb69(1)_inplacefalse
torch.nn.modules.dropout.Dropout.98f10bdb1f3d5fcb(1)_inplacefalse
torch.nn.modules.dropout.Dropout.98f10bdb1f3d5fcb(1)_p0.5
torch.nn.modules.linear.Linear.bae7c1c3fc51fdf7(1)_in_features32
torch.nn.modules.linear.Linear.bae7c1c3fc51fdf7(1)_out_features1
torch.nn.modules.activation.ReLU.fd386fbc22597353(1)_inplacefalse
torch.nn.modules.dropout.Dropout.ea59eb4fe5ab2cfd(1)_inplacefalse
torch.nn.modules.dropout.Dropout.ea59eb4fe5ab2cfd(1)_p0.5
torch.nn.modules.linear.Linear.718dc41ab78a3b21(1)_in_features256
torch.nn.modules.linear.Linear.718dc41ab78a3b21(1)_out_features128
torch.nn.modules.activation.ReLU.2e0e4335bc81f25(1)_inplacefalse
torch.nn.modules.dropout.Dropout.48088eab20f623d(1)_inplacefalse
torch.nn.modules.dropout.Dropout.48088eab20f623d(1)_p0.5
torch.nn.modules.linear.Linear.9b6f688f21da06ad(1)_in_features128
torch.nn.modules.linear.Linear.9b6f688f21da06ad(1)_out_features64
torch.nn.modules.activation.ReLU.935f414d8b825918(1)_inplacefalse
torch.nn.modules.dropout.Dropout.4c9544901331b007(1)_inplacefalse
torch.nn.modules.dropout.Dropout.4c9544901331b007(1)_p0.5

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
49.0748 ± 7.716
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
39.3139 ± 6.092
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2483 ± 0.1366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
51.6914 ± 10.5853
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
63.7676 ± 10.8699
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2336 ± 0.1267
Cross-validation details (10-fold Crossvalidation)