Run
8620756

Run 8620756

Task 145878 (Supervised Classification) wdbc Uploaded 06-12-2017 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.trees24
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_sample.fraction0.722495405236259
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
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9577
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9093
Cross-validation details (10-fold Crossvalidation)
KB relative information score
478.6974
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0803
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
0.9578
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9578
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9578
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1717
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1828
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.378
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1404.5918
UserCPU time millis
0.14
UserCPU time millis training
0.14