Run
506005

Run 506005

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 15-01-2016 by Rafael Gomes Mantovani
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Flow

classif.probit(4)Learner classif.probit from package(s) stats.
classif.probit(4)_seed1
classif.probit(4)_kindMersenne-Twister
classif.probit(4)_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
0.8143
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8355
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5246
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.802
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1769
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
0.865
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8231
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.8231
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5643
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4206
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0672
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.285
UserCPU time millis testing
0.04
UserCPU time millis training
0.245