OpenML
8352022

Run 8352022

Task 145853 (Supervised Classification) madelon Uploaded 31-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees481
mlr.classif.ranger(13)_mtry10
mlr.classif.ranger(13)_min.node.size104
mlr.classif.ranger(13)_sample.fraction0.256492208619602
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.6888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6183
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2369
Cross-validation details (10-fold Crossvalidation)
KB relative information score
105.1051
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4851
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6186
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9701
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4868
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9736
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1243.2684
UserCPU time millis
30.463
UserCPU time millis testing
2.492
UserCPU time millis training
27.971