Run
10228065

Run 10228065

Task 31 (Supervised Classification) credit-g Uploaded 16-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.b03f2ecfb0801085(1)Automatically created pytorch flow.
torch.nn.modules.linear.Linear.93019cc529f39660(1)_in_features20
torch.nn.modules.linear.Linear.93019cc529f39660(1)_out_features256
torch.nn.modules.activation.ReLU.1c02d4551fb21588(1)_inplacefalse
torch.nn.modules.dropout.Dropout.e35d188fdeec4fc7(1)_inplacefalse
torch.nn.modules.dropout.Dropout.e35d188fdeec4fc7(1)_p0.2
torch.nn.modules.linear.Linear.86d0c02c4cefa777(1)_in_features256
torch.nn.modules.linear.Linear.86d0c02c4cefa777(1)_out_features256
torch.nn.modules.activation.ReLU.962fa4218a279579(1)_inplacefalse
torch.nn.modules.dropout.Dropout.ef7c4caf31254783(1)_inplacefalse
torch.nn.modules.dropout.Dropout.ef7c4caf31254783(1)_p0.2
torch.nn.modules.linear.Linear.c1c52427b3bb49e9(1)_in_features256
torch.nn.modules.linear.Linear.c1c52427b3bb49e9(1)_out_features2
torch.nn.modules.activation.Softmax.c7ca437a8e8c1783(1)_dim0

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.

17 Evaluation measures

Area under ROC curve
0.5004 ± 0.0218
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5966 ± 0.1383
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0011 ± 0.0517
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-58.827 ± 51.6327
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3366 ± 0.0573
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5795 ± 0.0779
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.634 ± 0.1158
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.634 ± 0.1158
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8012 ± 0.1364
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5796 ± 0.0445
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2647 ± 0.0971
Cross-validation details (10-fold Crossvalidation)