Run
10228155

Run 10228155

Task 2295 (Supervised Regression) cholesterol Uploaded 21-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.68e5f33799ebe4b(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.1748020674e4071d(1)_in_features13
torch.nn.modules.linear.Linear.1748020674e4071d(1)_out_features256
torch.nn.modules.activation.LeakyReLU.f549455c116c0625(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.f549455c116c0625(1)_negative_slope0.01
torch.nn.modules.activation.LeakyReLU.96ad5a0225166baa(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.96ad5a0225166baa(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.abaef463b49c0120(1)_inplacefalse
torch.nn.modules.dropout.Dropout.abaef463b49c0120(1)_p0.5
torch.nn.modules.linear.Linear.e846630141ebf865(1)_in_features256
torch.nn.modules.linear.Linear.e846630141ebf865(1)_out_features1
torch.nn.modules.dropout.Dropout.47d1dbb6d092010(1)_inplacefalse
torch.nn.modules.dropout.Dropout.47d1dbb6d092010(1)_p0.5
torch.nn.modules.linear.Linear.f542b708d1b36ff2(1)_in_features256
torch.nn.modules.linear.Linear.f542b708d1b36ff2(1)_out_features256
torch.nn.modules.activation.LeakyReLU.25ffd50d2b3cf05e(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.25ffd50d2b3cf05e(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.f5368e2cffe396f3(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f5368e2cffe396f3(1)_p0.5
torch.nn.modules.linear.Linear.ddd9edbea2ad1a01(1)_in_features256
torch.nn.modules.linear.Linear.ddd9edbea2ad1a01(1)_out_features256
torch.nn.modules.activation.LeakyReLU.469aff2d3032e1a9(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.469aff2d3032e1a9(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.c74667ddde217e2c(1)_inplacefalse
torch.nn.modules.dropout.Dropout.c74667ddde217e2c(1)_p0.5
torch.nn.modules.linear.Linear.73b29cc910af3bba(1)_in_features256
torch.nn.modules.linear.Linear.73b29cc910af3bba(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
49.1562 ± 10.539
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
1.2504 ± 0.268
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
65.82 ± 12.1323
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2733 ± 0.1985
Cross-validation details (10-fold Crossvalidation)