Run
8723115

Run 8723115

Task 146085 (Supervised Classification) Internet-Advertisements Uploaded 29-12-2017 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.trees1043
mlr.classif.ranger(16)_mtry1463
mlr.classif.ranger(16)_min.node.size5
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.590188569482416
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
0.9699
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9744
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8922
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2665.5514
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0374
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
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9747
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9747
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1552
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1459
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4205
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.9635
UserCPU time millis
6943.199
UserCPU time millis testing
2.332
UserCPU time millis training
6940.867