Run
8585923

Run 8585923

Task 9889 (Supervised Classification) wilt Uploaded 29-11-2017 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.trees78
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size28
mlr.classif.ranger(9)_sample.fraction0.143601593910716
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
0.9851
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7189
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1965.3925
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0428
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
0.974
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9754
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4189
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1321
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5848
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1863.9794
UserCPU time millis
0.838
UserCPU time millis testing
0.064
UserCPU time millis training
0.774