Run
8324983

Run 8324983

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 30-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1243
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_min.node.size52
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.461092160851695
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9657
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9314
Cross-validation details (10-fold Crossvalidation)
KB relative information score
123.6435
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4141
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9662
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9657
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9657
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8295
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4172
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8351
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1296.7468
UserCPU time millis
5.676
UserCPU time millis testing
0.789
UserCPU time millis training
4.887