Run
8775443

Run 8775443

Task 3493 (Supervised Classification) monks-problems-2 Uploaded 04-01-2018 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.trees711
mlr.classif.ranger(16)_mtry4
mlr.classif.ranger(16)_min.node.size2
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.292292758333497
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
0.9869
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9235
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8276
Cross-validation details (10-fold Crossvalidation)
KB relative information score
256.5688
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.287
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9277
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9251
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9251
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3232
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.681
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1381.7204
UserCPU time millis
1.873
UserCPU time millis testing
0.332
UserCPU time millis training
1.541