Run
6625955

Run 6625955

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 31-08-2017 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)_minsplit27
mlr.classif.rpart(29)_minbucket12
mlr.classif.rpart(29)_cp0.198991566896439
mlr.classif.rpart(29)_maxdepth6
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
0.6792
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8902
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4936
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1064.1307
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1649
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2409
Cross-validation details (10-fold Crossvalidation)
Number of instances
3279
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9018
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9058
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9058
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6845
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2919
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8413
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1290.9132
UserCPU time millis
21.69
UserCPU time millis testing
4.013
UserCPU time millis training
17.677