Run
8768460

Run 8768460

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 01-01-2018 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.trees994
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size3
mlr.classif.ranger(16)_sample.fraction0.926342400419526
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9964
Cross-validation details (10-fold Crossvalidation)
KB relative information score
371.0732
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1978
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
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.9982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2271
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4541
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1376.5634
UserCPU time millis
2.625
UserCPU time millis testing
0.34
UserCPU time millis training
2.285