OpenML
8259470

Run 8259470

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 26-10-2017 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.trees181
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size18
mlr.classif.ranger(9)_sample.fraction0.166835981607437
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
0.9723
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7716
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5647
Cross-validation details (10-fold Crossvalidation)
KB relative information score
171.5277
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3683
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8484
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7824
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7824
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3919
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7839
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1860.7926
UserCPU time millis
0.193
UserCPU time millis testing
0.043
UserCPU time millis training
0.15