Run
8529365

Run 8529365

Task 125923 (Supervised Classification) Australian Uploaded 15-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.rpart(31)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(31)_minsplit18
mlr.classif.rpart(31)_minbucket2
mlr.classif.rpart(31)_cp0.653280599042773
mlr.classif.rpart(31)_maxdepth18
mlr.classif.rpart(31)_xval0
mlr.classif.rpart(31)_openml.seed1
mlr.classif.rpart(31)_openml.kindMersenne-Twister
mlr.classif.rpart(31)_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
0.8343
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8554
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7116
Cross-validation details (10-fold Crossvalidation)
KB relative information score
383.8944
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2379
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8663
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4817
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3455
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6951
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1911.2887
UserCPU time millis
0.255
UserCPU time millis testing
0.024
UserCPU time millis training
0.231