Run
502318

Run 502318

Task 3577 (Supervised Classification) visualizing_livestock Uploaded 21-12-2015 by Rafael Gomes Mantovani
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Flow

classif.nnet(2)Learner classif.nnet from package(s) nnet.
classif.nnet(2)_size3
classif.nnet(2)_seed1
classif.nnet(2)_kindMersenne-Twister
classif.nnet(2)_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
0.4663
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0673
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.6102
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3415
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.32
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.1569
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1462
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.1462
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0673
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5844
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.461
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.068
UserCPU time millis testing
0.021
UserCPU time millis training
0.047