Run
10228150

Run 10228150

Task 2295 (Supervised Regression) cholesterol Uploaded 20-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.caaaf000c0d7266e(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.1b72e18ca36fdd00(1)_in_features13
torch.nn.modules.linear.Linear.1b72e18ca36fdd00(1)_out_features256
torch.nn.modules.activation.LeakyReLU.c5432ee17ba6da1(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.c5432ee17ba6da1(1)_negative_slope0.01
torch.nn.modules.activation.LeakyReLU.56cc532c5433fa7f(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.56cc532c5433fa7f(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.f405393962adbfef(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f405393962adbfef(1)_p0.5
torch.nn.modules.linear.Linear.21108356b47be902(1)_in_features256
torch.nn.modules.linear.Linear.21108356b47be902(1)_out_features1
torch.nn.modules.dropout.Dropout.bfc9333af097a57b(1)_inplacefalse
torch.nn.modules.dropout.Dropout.bfc9333af097a57b(1)_p0.5
torch.nn.modules.linear.Linear.fdc0f8af75d7e394(1)_in_features256
torch.nn.modules.linear.Linear.fdc0f8af75d7e394(1)_out_features256
torch.nn.modules.activation.LeakyReLU.4bd2e4aec3514d16(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.4bd2e4aec3514d16(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.fd1433f940565545(1)_inplacefalse
torch.nn.modules.dropout.Dropout.fd1433f940565545(1)_p0.5
torch.nn.modules.linear.Linear.b3460922cd62cef9(1)_in_features256
torch.nn.modules.linear.Linear.b3460922cd62cef9(1)_out_features256
torch.nn.modules.activation.LeakyReLU.d57b18787d9b41ab(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.d57b18787d9b41ab(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.7bdd3286ff7cd3ff(1)_inplacefalse
torch.nn.modules.dropout.Dropout.7bdd3286ff7cd3ff(1)_p0.5
torch.nn.modules.linear.Linear.164edc0d433fc32e(1)_in_features256
torch.nn.modules.linear.Linear.164edc0d433fc32e(1)_out_features256

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
48.0392 ± 9.9449
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
1.2219 ± 0.2688
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
64.0785 ± 12.0042
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2396 ± 0.214
Cross-validation details (10-fold Crossvalidation)