Run
509589

Run 509589

Task 3564 (Supervised Classification) analcatdata_germangss Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.nnet(3)Learner classif.nnet from package(s) nnet.
classif.nnet(3)_size3
classif.nnet(3)_seed1
classif.nnet(3)_kindMersenne-Twister
classif.nnet(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
0.595
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3846
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.19
Cross-validation details (10-fold Crossvalidation)
KB relative information score
106.5729
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3038
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3801
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3925
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2
Cross-validation details (10-fold Crossvalidation)
Recall
0.3925
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.81
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5511
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2728
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.693
UserCPU time millis testing
0.089
UserCPU time millis training
0.604