OpenML
8028836

Run 8028836

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.trees805
mlr.classif.ranger(9)_mtry20
mlr.classif.ranger(9)_min.node.size66
mlr.classif.ranger(9)_sample.fraction0.2547637719661
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
0.9869
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8588
Cross-validation details (10-fold Crossvalidation)
KB relative information score
441.7393
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
0.9348
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9332
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9332
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2438
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4398
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.8358
UserCPU time millis
2.054
UserCPU time millis testing
0.155
UserCPU time millis training
1.899