Run
8748008

Run 8748008

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 30-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1889
mlr.classif.ranger(9)_mtry93
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.458736612414941
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9941
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9493
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12361.9525
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9941
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9941
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1215
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0703
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2924
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1730.591
UserCPU time millis
806.59
UserCPU time millis testing
5.459
UserCPU time millis training
801.131