Run
8662725

Run 8662725

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 21-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees183
mlr.classif.ranger(16)_mtry648
mlr.classif.ranger(16)_min.node.size110
mlr.classif.ranger(16)_sample.fraction0.357608862430789
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9706
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9602
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8351
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2294.747
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0668
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
0.9603
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2772
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1752
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5051
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
899.4436
UserCPU time millis
386.385
UserCPU time millis testing
1.685
UserCPU time millis training
384.7