Run
573292

Run 573292

Task 3577 (Supervised Classification) visualizing_livestock Uploaded 30-05-2016 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)_minsplit16
mlr.classif.rpart.preproc(5)_minbucket1
mlr.classif.rpart.preproc(5)_cp0.000506
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

rds
BenchmarkResult

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
0.6469
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3889
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2692
Cross-validation details (10-fold Crossvalidation)
KB relative information score
40.8737
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2484
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.32
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.376
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4154
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.4154
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7763
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4213
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0534
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
90.692
UserCPU time millis testing
0.026
UserCPU time millis training
90.666