Run
8551029

Run 8551029

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 21-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees306
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size8
mlr.classif.ranger(15)_sample.fraction0.33091017191764
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8845
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6517
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2349
Cross-validation details (10-fold Crossvalidation)
KB relative information score
97.2693
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3876
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
0.8047
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7221
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.7221
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.86
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4186
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8819
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1331.1292
UserCPU time millis
0.56
UserCPU time millis testing
0.14
UserCPU time millis training
0.42