Run
8771764

Run 8771764

Task 3485 (Supervised Classification) scene Uploaded 03-01-2018 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.trees736
mlr.classif.ranger(16)_mtry109
mlr.classif.ranger(16)_min.node.size6
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.10330300712958
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
0.9237
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8561
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4571
Cross-validation details (10-fold Crossvalidation)
KB relative information score
612.0683
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2144
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
0.8903
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8803
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8803
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7289
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2971
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7748
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1371.3468
UserCPU time millis
72.601
UserCPU time millis testing
0.654
UserCPU time millis training
71.947