Run
497645

Run 497645

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 03-12-2015 by Rafael Gomes Mantovani
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Flow

classif.ada(2)Learner classif.ada from package(s) ada.

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
0.6
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8016
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2877
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.9517
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1538
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
0.8708
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8462
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.8462
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4907
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3922
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9952
Cross-validation details (10-fold Crossvalidation)