Run
8555054

Run 8555054

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 24-11-2017 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.trees831
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size22
mlr.classif.ranger(16)_sample.fraction0.536432040249929
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
0.9928
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9856
Cross-validation details (10-fold Crossvalidation)
KB relative information score
371.785
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1912
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
0.9929
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9928
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.9928
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3824
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2416
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4831
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1120.3159
UserCPU time millis
1.855
UserCPU time millis testing
0.3
UserCPU time millis training
1.555