Run
509939

Run 509939

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.7348
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4696
Cross-validation details (10-fold Crossvalidation)
KB relative information score
46.5026
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.26
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.74
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.74
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5302
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5099
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0299
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.391
UserCPU time millis testing
0.257
UserCPU time millis training
1.134