Run
8659997

Run 8659997

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 19-12-2017 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.trees729
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size315
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.91092843064107
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
0.7202
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4928
Cross-validation details (10-fold Crossvalidation)
KB relative information score
107.8499
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4198
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
0.8317
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8396
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4363
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8726
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1227.049
UserCPU time millis
0.535
UserCPU time millis testing
0.114
UserCPU time millis training
0.421