Run
8359918

Run 8359918

Task 145853 (Supervised Classification) madelon Uploaded 31-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees67
mlr.classif.ranger(13)_mtry20
mlr.classif.ranger(13)_min.node.size28
mlr.classif.ranger(13)_sample.fraction0.474158040201291
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
0.7409
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6803
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3608
Cross-validation details (10-fold Crossvalidation)
KB relative information score
263.2808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4603
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
0.6806
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6804
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6804
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9205
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4682
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9364
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1243.6686
UserCPU time millis
24.867
UserCPU time millis testing
1.33
UserCPU time millis training
23.537