Run
8718648

Run 8718648

Task 145878 (Supervised Classification) wdbc Uploaded 29-12-2017 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.trees1897
mlr.classif.ranger(16)_mtry24
mlr.classif.ranger(16)_min.node.size200
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.819137707352638
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
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9266
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8439
Cross-validation details (10-fold Crossvalidation)
KB relative information score
438.9898
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.114
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
0.9278
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9262
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9262
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2437
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4791
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1372.5779
UserCPU time millis
16.921
UserCPU time millis testing
0.272
UserCPU time millis training
16.649