Run
506947

Run 506947

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.blackboost(2)Learner classif.blackboost from package(s) mboost, party.
classif.blackboost(2)_familyBinomial
classif.blackboost(2)_seed1
classif.blackboost(2)_kindMersenne-Twister
classif.blackboost(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
0.5467
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7495
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1186
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.219
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2154
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
0.7351
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7846
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.7846
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.687
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1775
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.849
UserCPU time millis testing
0.075
UserCPU time millis training
0.774