Run
10228136

Run 10228136

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

torch.nn.modules.container.Sequential.b8d6ae53e237215e(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.98c2212139aeb8f0(1)_in_features13
torch.nn.modules.linear.Linear.98c2212139aeb8f0(1)_out_features32
torch.nn.modules.activation.LeakyReLU.feb03d0cbb5f7448(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.feb03d0cbb5f7448(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.843a9f7c776bc171(1)_inplacefalse
torch.nn.modules.dropout.Dropout.843a9f7c776bc171(1)_p0.5
torch.nn.modules.linear.Linear.608037624fe7c592(1)_in_features32
torch.nn.modules.linear.Linear.608037624fe7c592(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
49.5178 ± 15.5609
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
1.2595 ± 0.4936
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
63.6288 ± 16.3024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2309 ± 0.3954
Cross-validation details (10-fold Crossvalidation)