OpenML
8028826

Run 8028826

Task 145878 (Supervised Classification) wdbc Uploaded 17-10-2017 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.trees144
mlr.classif.ranger(9)_mtry16
mlr.classif.ranger(9)_min.node.size78
mlr.classif.ranger(9)_sample.fraction0.582682321849279
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
0.9876
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8947
Cross-validation details (10-fold Crossvalidation)
KB relative information score
461.6587
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0943
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
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9508
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1999
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4135
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1846.6923
UserCPU time millis
0.819
UserCPU time millis testing
0.037
UserCPU time millis training
0.782