Run
514806

Run 514806

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 28-01-2016 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
0.4975
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2507
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.005
Cross-validation details (10-fold Crossvalidation)
KB relative information score
66.8574
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4362
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2374
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3457
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.3457
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9831
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6604
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4022
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.543
UserCPU time millis testing
0.393
UserCPU time millis training
1.15