Run
10559949

Run 10559949

Task 31 (Supervised Classification) credit-g Uploaded 28-07-2021 by Giuseppe Casalicchio
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Flow

mlr.classif.rpart(61)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(61)_xval0
mlr.classif.rpart(61)_openml.seed1
mlr.classif.rpart(61)_openml.kindMersenne-Twister
mlr.classif.rpart(61)_openml.normal.kindInversion
mlr.classif.rpart(61)_openml.sample.kindRejection

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
0.6571 ± 0.0564
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7312 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3402 ± 0.1104
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3463 ± 0.0902
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.256 ± 0.0353
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.744 ± 0.0353
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7292 ± 0.0445
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.744 ± 0.0353
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6093 ± 0.0841
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.506 ± 0.0356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1041 ± 0.0776
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.16
UserCPU time millis testing
0.07
UserCPU time millis training
0.09
Unweighted recall
0.6571 ± 0.0564
Cross-validation details (10-fold Crossvalidation)