Run
8586788

Run 8586788

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 29-11-2017 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.trees1073
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size14
mlr.classif.ranger(9)_sample.fraction0.256419538147748
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.964
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9281
Cross-validation details (10-fold Crossvalidation)
KB relative information score
339.7233
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2188
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
0.9664
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.964
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.964
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4376
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2726
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5453
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1817.4968
UserCPU time millis
1.407
UserCPU time millis testing
0.199
UserCPU time millis training
1.208