Run
520088

Run 520088

Task 3486 (Supervised Classification) spectrometer Uploaded 05-02-2016 by Rafael Gomes Mantovani
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Flow

classif.avNNet(6)Learner classif.avNNet from package(s) nnet.
classif.avNNet(6)_size3
classif.avNNet(6)_seed1
classif.avNNet(6)_kindMersenne-Twister
classif.avNNet(6)_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
0.5664
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.134
Cross-validation details (10-fold Crossvalidation)
KB relative information score
81.0136
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0329
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0589
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2109
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.2109
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8294
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1813
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2895
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
32.518
UserCPU time millis testing
0.918
UserCPU time millis training
31.6