Run
8551019

Run 8551019

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.trees949
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size130
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.915590420248918
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
0.6649
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.2207
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4326
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
0.432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6572
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.6572
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9599
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9708
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1364.1118
UserCPU time millis
0.99
UserCPU time millis testing
0.18
UserCPU time millis training
0.81