Run
487531

Run 487531

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 02-12-2015 by Rafael Gomes Mantovani
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Flow

classif.avNNet(1)Learner classif.avNNet from package(s) nnet.
classif.avNNet(1)_size3
classif.avNNet(1)_seed1
classif.avNNet(1)_kindMersenne-Twister
classif.avNNet(1)_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.

17 Evaluation measures

Area under ROC curve
0.5937
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7511
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15.0108
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2313
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3135
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7428
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7615
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.7615
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7376
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4502
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1422
Cross-validation details (10-fold Crossvalidation)