Run
8503466

Run 8503466

Task 146085 (Supervised Classification) Internet-Advertisements Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees946
mlr.classif.ranger(15)_mtry272
mlr.classif.ranger(15)_min.node.size275
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.457978821313009
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9708
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9595
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2249.2158
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0717
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
0.9595
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9594
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9594
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2975
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1727
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1435.9559
UserCPU time millis
727.25
UserCPU time millis testing
1.51
UserCPU time millis training
725.74