Run
10228139

Run 10228139

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

torch.nn.modules.container.Sequential.90431c9af1f27d3d(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.193d479afa64d5c2(1)_in_features13
torch.nn.modules.linear.Linear.193d479afa64d5c2(1)_out_features32
torch.nn.modules.activation.LeakyReLU.dca4e0377077a99f(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.dca4e0377077a99f(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.d98ee9b0d6f5237c(1)_inplacefalse
torch.nn.modules.dropout.Dropout.d98ee9b0d6f5237c(1)_p0.5
torch.nn.modules.linear.Linear.d944dcc0e39fcb79(1)_in_features32
torch.nn.modules.linear.Linear.d944dcc0e39fcb79(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
40.7606 ± 5.6479
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
1.0368 ± 0.1265
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
55.1652 ± 9.5904
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0672 ± 0.111
Cross-validation details (10-fold Crossvalidation)