Run
573099

Run 573099

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 28-05-2016 by Rafael Gomes Mantovani
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Flow

mlr.classif.rpart.preproc(5)Learner mlr.classif.rpart.preproc from package(s) rpart.
mlr.classif.rpart.preproc(5)_minsplit2
mlr.classif.rpart.preproc(5)_minbucket1
mlr.classif.rpart.preproc(5)_cp0.000967
mlr.classif.rpart.preproc(5)_xval0
mlr.classif.rpart.preproc(5)_openml.seed1
mlr.classif.rpart.preproc(5)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc(5)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.82
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8341
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.9037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1871
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
0.8576
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
0.5969
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0766
Cross-validation details (10-fold Crossvalidation)
Total cost
UserCPU time millis
0.137
UserCPU time millis testing
0.029
UserCPU time millis training
0.108