OpenML
8252525

Run 8252525

Task 145878 (Supervised Classification) wdbc Uploaded 26-10-2017 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.trees295
mlr.classif.ranger(9)_mtry16
mlr.classif.ranger(9)_min.node.size23
mlr.classif.ranger(9)_sample.fraction0.8833509179065
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
0.9891
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9525
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8984
Cross-validation details (10-fold Crossvalidation)
KB relative information score
471.5645
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.086
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
0.9525
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9525
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9525
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.184
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1903
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3937
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1859.6666
UserCPU time millis
2.061
UserCPU time millis testing
0.183
UserCPU time millis training
1.878