Run
510670

Run 510670

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.saeDNN(3)Learner classif.saeDNN from package(s) deepnet.
classif.saeDNN(3)_outputsoftmax
classif.saeDNN(3)_seed1
classif.saeDNN(3)_kindMersenne-Twister
classif.saeDNN(3)_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
0.5795
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5792
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
51.9317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.388
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6137
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.612
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.612
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7872
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6229
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2549
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.244
UserCPU time millis testing
0.022
UserCPU time millis training
0.222