Run
10228060

Run 10228060

Task 31 (Supervised Classification) credit-g Uploaded 15-05-2019 by Adrian-Stefan Mares
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Flow

torch.nn.modules.container.Sequential.a84c06ad(0=torch.nn.modules.normaliza tion.LayerNorm.4d52ecbb,1=torch.nn.modules.linear.Linear.87c31116,2=torch.n n.modules.activation.ReLU.66073ed,3=torch.nn.modules.dropout.Dropout.3a0fb3 06,4=torch.nn.modules.linear.Linear.21c2a876,5=torch.nn.modules.activation. Softmax.5621e576)(1)Automatically created pytorch flow.
torch.nn.modules.normalization.LayerNorm.4d52ecbb(1)_elementwise_affinetrue
torch.nn.modules.normalization.LayerNorm.4d52ecbb(1)_eps1e-05
torch.nn.modules.normalization.LayerNorm.4d52ecbb(1)_normalized_shape[20]
torch.nn.modules.linear.Linear.87c31116(1)_in_features20
torch.nn.modules.linear.Linear.87c31116(1)_out_features64
torch.nn.modules.activation.ReLU.66073ed(1)_inplacefalse
torch.nn.modules.dropout.Dropout.3a0fb306(1)_inplacefalse
torch.nn.modules.dropout.Dropout.3a0fb306(1)_p0.5
torch.nn.modules.linear.Linear.21c2a876(1)_in_features64
torch.nn.modules.linear.Linear.21c2a876(1)_out_features2
torch.nn.modules.activation.Softmax.5621e576(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
0.4925 ± 0.0602
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4962 ± 0.0737
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0092 ± 0.113
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1537.3618 ± 0.3878
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5015 ± 0.0014
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
0.575 ± 0.0659
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.476 ± 0.0731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.476 ± 0.0731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1936 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7027 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5335 ± 0.0054
Cross-validation details (10-fold Crossvalidation)