Run
8650424

Run 8650424

Task 145847 (Supervised Classification) hill-valley Uploaded 13-12-2017 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.trees496
mlr.classif.ranger(15)_mtry41
mlr.classif.ranger(15)_min.node.size711
mlr.classif.ranger(15)_sample.fraction0.506127224070951
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
0.4972
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4941
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0017
KB relative information score
-0.0169
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4991
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4992
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.3805
UserCPU time millis
1.15
UserCPU time millis testing
0.46
UserCPU time millis training
0.69