OpenML
8357563

Run 8357563

Task 9976 (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.trees674
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_min.node.size151
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.878548699687235
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
0.6696
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6157
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2315
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.3942
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4925
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
0.6159
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6158
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6158
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9849
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.493
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.986
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1264.0091
UserCPU time millis
46.525
UserCPU time millis testing
3.689
UserCPU time millis training
42.836