Run
508887

Run 508887

Task 3661 (Supervised Classification) cpu Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.avNNet(5)Learner classif.avNNet from package(s) nnet.
classif.avNNet(5)_size3
classif.avNNet(5)_seed1
classif.avNNet(5)_kindMersenne-Twister
classif.avNNet(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
0.5189
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.66
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.3671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.244
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3797
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8161
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.756
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8205
Cross-validation details (10-fold Crossvalidation)
Recall
0.756
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6426
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4351
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.494
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1354
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.974
UserCPU time millis testing
0.192
UserCPU time millis training
0.782