Run
8250835

Run 8250835

Task 9889 (Supervised Classification) wilt Uploaded 25-10-2017 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.trees79
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size77
mlr.classif.ranger(9)_sample.fraction0.819347268552519
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
0.9873
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7267
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2132.1182
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0425
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
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9764
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9764
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4161
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1284
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5684
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2019.0073
UserCPU time millis
1.525
UserCPU time millis testing
0.07
UserCPU time millis training
1.455