Run
8653109

Run 8653109

Task 145857 (Supervised Classification) phoneme Uploaded 15-12-2017 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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1218
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size1020
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.789182276139036
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7844
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4805
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1589.4272
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2885
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7846
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7842
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7842
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3733
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8198
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1428.6379
UserCPU time millis
28.01
UserCPU time millis testing
1.11
UserCPU time millis training
26.9