Run
8753634

Run 8753634

Task 3485 (Supervised Classification) scene 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.trees874
mlr.classif.ranger(9)_mtry59
mlr.classif.ranger(9)_min.node.size563
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.14052216608543
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
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7402
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1442
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2939
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
0.6739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8209
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8209
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9992
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1841.2265
UserCPU time millis
3.216
UserCPU time millis testing
0.558
UserCPU time millis training
2.658