Run
8660486

Run 8660486

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 20-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees484
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size7
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.913066088152118
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9783
Cross-validation details (10-fold Crossvalidation)
KB relative information score
528.8388
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0255
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
0.9893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9892
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0511
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1139
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2281
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1201.3189
UserCPU time millis
0.984
UserCPU time millis testing
0.118
UserCPU time millis training
0.866