Run
8656999

Run 8656999

Task 9889 (Supervised Classification) wilt Uploaded 16-12-2017 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.trees437
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size11
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.467654967447743
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
0.9893
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8415
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2968.0021
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0268
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
0.984
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9845
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2618
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.109
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4823
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1340.9636
Total cost
UserCPU time millis
10.882
UserCPU time millis testing
0.511
UserCPU time millis training
10.371