OpenML
8350620

Run 8350620

Task 34536 (Supervised Classification) Internet-Advertisements Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees504
mlr.classif.ranger(13)_mtry18
mlr.classif.ranger(13)_min.node.size6
mlr.classif.ranger(13)_sample.fraction0.103806937625632
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9788
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9542
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7984
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2175.8008
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.089
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
0.9587
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9573
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9573
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3694
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1836
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5292
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1290.404
UserCPU time millis
125.563
UserCPU time millis testing
9.141
UserCPU time millis training
116.422