Run
8781612

Run 8781612

Task 3485 (Supervised Classification) scene Uploaded 08-01-2018 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.trees1992
mlr.classif.ranger(16)_mtry15
mlr.classif.ranger(16)_min.node.size3
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.862201056303456
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
0.957
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9161
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6926
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1002.3071
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1739
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9304
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9244
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.9244
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5913
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2566
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6694
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1371.5483
UserCPU time millis
262.465
UserCPU time millis testing
2.541
UserCPU time millis training
259.924