Run
8758341

Run 8758341

Task 34536 (Supervised Classification) Internet-Advertisements Uploaded 31-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees834
mlr.classif.ranger(9)_mtry556
mlr.classif.ranger(9)_min.node.size1644
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.763790213689208
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9657
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9591
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8316
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2281.3794
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0669
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
0.9588
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9588
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2777
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1769
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5099
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1730.7878
UserCPU time millis
1397.574
UserCPU time millis testing
1.448
UserCPU time millis training
1396.126