Run
8781652

Run 8781652

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.trees1623
mlr.classif.ranger(16)_mtry189
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.776825650804676
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
0.9773
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9632
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8701
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1747.0728
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.093
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
0.966
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9647
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.9647
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.316
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1768
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4612
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1375.8376
UserCPU time millis
1630.606
UserCPU time millis testing
1.589
UserCPU time millis training
1629.017