Run
8526123

Run 8526123

Task 9889 (Supervised Classification) wilt Uploaded 10-11-2017 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.trees585
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size4663
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.930670536728576
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
0.4982
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9198
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.8473
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.895
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9461
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9461
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9985
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1748.4022
UserCPU time millis
1.321
UserCPU time millis testing
0.269
UserCPU time millis training
1.052