Run
10228154

Run 10228154

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

torch.nn.modules.container.Sequential.82fbc60aa505f7fa(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.e31d7c4be666e6a(1)_in_features13
torch.nn.modules.linear.Linear.e31d7c4be666e6a(1)_out_features256
torch.nn.modules.activation.LeakyReLU.e98282e62320a7b8(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.e98282e62320a7b8(1)_negative_slope0.01
torch.nn.modules.activation.LeakyReLU.dc03ede749ab64bb(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.dc03ede749ab64bb(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.2183617bcf1f0b8(1)_inplacefalse
torch.nn.modules.dropout.Dropout.2183617bcf1f0b8(1)_p0.5
torch.nn.modules.linear.Linear.81581b2a41b92ab2(1)_in_features256
torch.nn.modules.linear.Linear.81581b2a41b92ab2(1)_out_features1
torch.nn.modules.dropout.Dropout.621f9075d1da567(1)_inplacefalse
torch.nn.modules.dropout.Dropout.621f9075d1da567(1)_p0.5
torch.nn.modules.linear.Linear.69bbe6a5b2862c1a(1)_in_features256
torch.nn.modules.linear.Linear.69bbe6a5b2862c1a(1)_out_features256
torch.nn.modules.activation.LeakyReLU.d75b6c68f46e94ed(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.d75b6c68f46e94ed(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.d8397610bb9a9b3f(1)_inplacefalse
torch.nn.modules.dropout.Dropout.d8397610bb9a9b3f(1)_p0.5
torch.nn.modules.linear.Linear.8673a8b5f843127d(1)_in_features256
torch.nn.modules.linear.Linear.8673a8b5f843127d(1)_out_features256
torch.nn.modules.activation.LeakyReLU.287059a6da5cae33(1)_inplacefalse
torch.nn.modules.activation.LeakyReLU.287059a6da5cae33(1)_negative_slope0.01
torch.nn.modules.dropout.Dropout.7580082aa063e4e(1)_inplacefalse
torch.nn.modules.dropout.Dropout.7580082aa063e4e(1)_p0.5
torch.nn.modules.linear.Linear.5e02dfeac51c32f2(1)_in_features256
torch.nn.modules.linear.Linear.5e02dfeac51c32f2(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
48.6908 ± 8.591
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
1.2385 ± 0.2297
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
64.8438 ± 10.6969
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2544 ± 0.1801
Cross-validation details (10-fold Crossvalidation)