Run
523642

Run 523642

Task 9949 (Supervised Classification) micro-mass Uploaded 10-02-2016 by Rafael Gomes Mantovani
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Flow

classif.saeDNN(5)Learner classif.saeDNN from package(s) deepnet.
classif.saeDNN(5)_outputsoftmax
classif.saeDNN(5)_seed1
classif.saeDNN(5)_kindMersenne-Twister
classif.saeDNN(5)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.5324
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1402
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0648
Cross-validation details (10-fold Crossvalidation)
KB relative information score
43.1355
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1683
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
360
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1385
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1583
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.1583
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9352
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4103
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3676
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
4.489
UserCPU time millis testing
0.237
UserCPU time millis training
4.252