OpenML
8653287

Run 8653287

Task 3896 (Supervised Classification) ada_agnostic Uploaded 15-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees740
mlr.classif.ranger(15)_mtry22
mlr.classif.ranger(15)_min.node.size3
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.626182229025289
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8916
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8421
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5651
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1899.1126
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2074
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8411
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8474
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8474
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5557
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.329
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7617
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1390.0346
UserCPU time millis
50.57
UserCPU time millis testing
2.13
UserCPU time millis training
48.44