Run
8324736

Run 8324736

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.trees827
mlr.classif.ranger(13)_mtry10
mlr.classif.ranger(13)_min.node.size1
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.563535157591105
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
0.9915
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9801
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9602
Cross-validation details (10-fold Crossvalidation)
KB relative information score
526.4924
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0272
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
0.9801
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9801
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9801
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0544
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1199
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.24
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1284.9802
UserCPU time millis
9.065
UserCPU time millis testing
0.72
UserCPU time millis training
8.345