Run
6344447

Run 6344447

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 28-08-2017 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)_minsplit51
mlr.classif.rpart(29)_minbucket47
mlr.classif.rpart(29)_cp0.00803370750509202
mlr.classif.rpart(29)_maxdepth28
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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9898
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1913.4241
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0067
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9954
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9954
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0149
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0646
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1358
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1287.3269
UserCPU time millis
0.511
UserCPU time millis testing
0.037
UserCPU time millis training
0.474