OpenML
8268011

Run 8268011

Task 6566 (Supervised Classification) Internet-Advertisements Uploaded 27-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees328
mlr.classif.ranger(9)_mtry198
mlr.classif.ranger(9)_min.node.size72
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.431810702127405
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
0.9757
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9721
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8826
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2351.4579
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0629
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
0.9721
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9726
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9726
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.261
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1606
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4629
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1738.1879
UserCPU time millis
145.744
UserCPU time millis testing
0.993
UserCPU time millis training
144.751