Run
487606

Run 487606

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

classif.cforest(2)Learner classif.cforest from package(s) party.
classif.cforest(2)_seed1
classif.cforest(2)_kindMersenne-Twister
classif.cforest(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.

17 Evaluation measures

Area under ROC curve
0.775
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8702
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5854
Cross-validation details (10-fold Crossvalidation)
KB relative information score
48.4369
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1845
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
0.8713
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8692
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5884
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.33
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8372
Cross-validation details (10-fold Crossvalidation)