Run
8767267

Run 8767267

Task 145878 (Supervised Classification) wdbc Uploaded 01-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees321
mlr.classif.ranger(9)_mtry18
mlr.classif.ranger(9)_min.node.size464
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.387200122163631
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.4838
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.262
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4674
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3937
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.6274
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1810.1824
UserCPU time millis
0.211
UserCPU time millis testing
0.039
UserCPU time millis training
0.172