Run
6356592

Run 6356592

Task 145857 (Supervised Classification) phoneme Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot21 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart(29)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(29)_minsplit21
mlr.classif.rpart(29)_minbucket59
mlr.classif.rpart(29)_cp0.571259159594774
mlr.classif.rpart(29)_maxdepth15
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
0.499
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.585
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3301
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4147
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
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1318.9628
UserCPU time millis
0.462
UserCPU time millis testing
0.028
UserCPU time millis training
0.434