Run
2421123

Run 2421123

Task 3896 (Supervised Classification) ada_agnostic Uploaded 22-06-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.rpart(29)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(29)_minsplit4
mlr.classif.rpart(29)_minbucket36
mlr.classif.rpart(29)_cp0.128988129086792
mlr.classif.rpart(29)_maxdepth27
mlr.classif.rpart(29)_xval0
mlr.classif.rpart(29)_openml.seed1
mlr.classif.rpart(29)_openml.kindMersenne-Twister
mlr.classif.rpart(29)_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.

21 Evaluation measures

Area under ROC curve
0.7771
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7897
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4035
Cross-validation details (10-fold Crossvalidation)
KB relative information score
983.426
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2824
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.796
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8093
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8093
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7566
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3768
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8723
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1293.6338
UserCPU time millis
0.857
UserCPU time millis testing
0.05
UserCPU time millis training
0.807