Run
8088812

Run 8088812

Task 9889 (Supervised Classification) wilt Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees160
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size120
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.923633980145678
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9807
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9772
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7811
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2420.7884
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0328
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
0.9778
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9766
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9766
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3207
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1309
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5794
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1837.961
UserCPU time millis
5.106
UserCPU time millis testing
0.116
UserCPU time millis training
4.99