OpenML
8246404

Run 8246404

Task 145878 (Supervised Classification) wdbc Uploaded 25-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees52
mlr.classif.ranger(9)_mtry14
mlr.classif.ranger(9)_min.node.size16
mlr.classif.ranger(9)_sample.fraction0.340118640544824
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
0.9896
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9543
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9025
Cross-validation details (10-fold Crossvalidation)
KB relative information score
465.3876
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0918
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
0.9544
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9543
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9543
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1964
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.194
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4013
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1873.5293
UserCPU time millis
0.334
UserCPU time millis testing
0.026
UserCPU time millis training
0.308