OpenML
6358292

Run 6358292

Task 145857 (Supervised Classification) phoneme Uploaded 29-08-2017 by OpenML_Bot R
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Flow

mlr.classif.rpart(29)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(29)_minsplit48
mlr.classif.rpart(29)_minbucket49
mlr.classif.rpart(29)_cp0.0155304516665637
mlr.classif.rpart(29)_maxdepth14
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
0.7743
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7954
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4917
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1658.7477
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2932
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7967
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8044
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8044
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7069
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3867
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8492
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1337.2518
UserCPU time millis
0.341
UserCPU time millis testing
0.015
UserCPU time millis training
0.326