OpenML
8355599

Run 8355599

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.trees1168
mlr.classif.ranger(13)_mtry5
mlr.classif.ranger(13)_min.node.size5
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.183933455590159
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
0.6767
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6168
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2338
Cross-validation details (10-fold Crossvalidation)
KB relative information score
83.7528
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4882
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
0.617
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6169
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6169
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9764
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4895
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.979
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1244.0436
Total cost
UserCPU time millis
104.423
UserCPU time millis testing
7.657
UserCPU time millis training
96.766