Run
8850907

Run 8850907

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 27-01-2018 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.trees1342
mlr.classif.ranger(9)_mtry60
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_sample.fraction0.636329643055797
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9496
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12080.7447
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0162
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
0.9942
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9942
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1401
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0719
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.299
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1739.8801
UserCPU time millis
547.404
UserCPU time millis testing
4.476
UserCPU time millis training
542.928