Run
8779341

Run 8779341

Task 9889 (Supervised Classification) wilt Uploaded 07-01-2018 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.trees1440
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size23
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.721665316447616
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
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9836
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8342
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2846.3249
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0291
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
0.9835
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9841
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9841
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2845
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1117
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1371.4355
UserCPU time millis
38.602
UserCPU time millis testing
1.495
UserCPU time millis training
37.107