Run
8703737

Run 8703737

Task 9889 (Supervised Classification) wilt Uploaded 27-12-2017 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.trees226
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size8
mlr.classif.ranger(9)_sample.fraction0.671716783894226
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
0.9872
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9695
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.667
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2122.0163
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0467
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
0.9726
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4569
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1339
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5929
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1813.2941
UserCPU time millis
4.11
UserCPU time millis testing
0.234
UserCPU time millis training
3.876