OpenML
6356872

Run 6356872

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)_minsplit22
mlr.classif.rpart(29)_minbucket49
mlr.classif.rpart(29)_cp0.0701114588882774
mlr.classif.rpart(29)_maxdepth29
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
0.7345
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7603
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4471
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1119.1755
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3277
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
0.7764
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7531
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7531
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7902
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4058
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8912
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1331.5208
UserCPU time millis
0.376
UserCPU time millis testing
0.014
UserCPU time millis training
0.362