Run
6626305

Run 6626305

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)_minsplit25
mlr.classif.rpart(29)_minbucket53
mlr.classif.rpart(29)_cp0.36355665535666
mlr.classif.rpart(29)_maxdepth27
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
0.6562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8688
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3819
Cross-validation details (10-fold Crossvalidation)
KB relative information score
803.0185
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1824
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
0.8905
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8933
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.8933
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7572
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3084
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8889
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1292.4515
UserCPU time millis
20.764
UserCPU time millis testing
4.016
UserCPU time millis training
16.748