Run
8781408

Run 8781408

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 08-01-2018 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1452
mlr.classif.ranger(16)_mtry175
mlr.classif.ranger(16)_min.node.size901
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.424071316258051
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9884
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9742
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.762
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1574.1941
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0638
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9751
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.976
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.976
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1662
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6914
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1364.6471
UserCPU time millis
1117.275
UserCPU time millis testing
3.933
UserCPU time millis training
1113.342