OpenML
7972085

Run 7972085

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.trees419
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size8
mlr.classif.ranger(9)_sample.fraction0.269162690336816
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
0.9897
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9526
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8988
Cross-validation details (10-fold Crossvalidation)
KB relative information score
455.848
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1018
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
0.9527
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
0.2176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1957
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1836.5396
UserCPU time millis
0.651
UserCPU time millis testing
0.076
UserCPU time millis training
0.575