Run
7971982

Run 7971982

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.trees169
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_sample.fraction0.454254494886845
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
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9579
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9101
Cross-validation details (10-fold Crossvalidation)
KB relative information score
441.6269
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1195
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
0.9581
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
0.2556
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1942
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4016
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1867.1999
UserCPU time millis
0.368
UserCPU time millis testing
0.056
UserCPU time millis training
0.312