Run
10228152

Run 10228152

Task 2285 (Supervised Regression) cleveland Uploaded 20-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.dfc8855dba93b2e6(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.73bbd7dad87f0624(1)_in_features13
torch.nn.modules.linear.Linear.73bbd7dad87f0624(1)_out_features256
torch.nn.modules.activation.LeakyReLU.f2ad0d284859c1c3(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.f2ad0d284859c1c3(1)_negative_slope0.01
torch.nn.modules.activation.LeakyReLU.a5a736fe55c7ff92(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.a5a736fe55c7ff92(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.c430f1dac91ad22e(1)_inplacefalse
torch.nn.modules.dropout.Dropout.c430f1dac91ad22e(1)_p0.5
torch.nn.modules.linear.Linear.e8d7132529cfe018(1)_in_features256
torch.nn.modules.linear.Linear.e8d7132529cfe018(1)_out_features1
torch.nn.modules.dropout.Dropout.b81a8a0484c0e002(1)_inplacefalse
torch.nn.modules.dropout.Dropout.b81a8a0484c0e002(1)_p0.5
torch.nn.modules.linear.Linear.7198972a9edaa1d4(1)_in_features256
torch.nn.modules.linear.Linear.7198972a9edaa1d4(1)_out_features256
torch.nn.modules.activation.LeakyReLU.10771997ed25ffef(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.10771997ed25ffef(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.f60ffb43b7bca613(1)_inplacefalse
torch.nn.modules.dropout.Dropout.f60ffb43b7bca613(1)_p0.5
torch.nn.modules.linear.Linear.866246a1f76a6805(1)_in_features256
torch.nn.modules.linear.Linear.866246a1f76a6805(1)_out_features256
torch.nn.modules.activation.LeakyReLU.152caf23bdedfdc(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.152caf23bdedfdc(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.422fab308e5cbc8d(1)_inplacefalse
torch.nn.modules.dropout.Dropout.422fab308e5cbc8d(1)_p0.5
torch.nn.modules.linear.Linear.47ffd26a91c37e48(1)_in_features256
torch.nn.modules.linear.Linear.47ffd26a91c37e48(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
0.9497 ± 0.1683
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
1.0146 ± 0.1091
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.936 ± 0.1091
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
1.2265 ± 0.1133
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
1.4483 ± 0.1863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1808 ± 0.0626
Cross-validation details (10-fold Crossvalidation)