Run
8004083

Run 8004083

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 17-10-2017 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.trees1457
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size15
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.33999898803886
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9912
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9747
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9494
Cross-validation details (10-fold Crossvalidation)
KB relative information score
504.6041
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.051
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
0.9748
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9747
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9747
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1394
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2791
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1833.1675
UserCPU time millis
1.901
UserCPU time millis testing
0.321
UserCPU time millis training
1.58