Run
8771091

Run 8771091

Task 34536 (Supervised Classification) Internet-Advertisements Uploaded 02-01-2018 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.trees20
mlr.classif.ranger(16)_mtry338
mlr.classif.ranger(16)_min.node.size11
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.701978391990997
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
0.9732
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9759
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8982
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2651.7894
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0406
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
0.9759
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1686
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1436
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4139
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1360.7196
UserCPU time millis
39.663
UserCPU time millis testing
0.803
UserCPU time millis training
38.86