Run
8559014

Run 8559014

Task 145857 (Supervised Classification) phoneme Uploaded 25-11-2017 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1705
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size30
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.743003860977478
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
0.9502
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8912
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7364
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3013.7857
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1896
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
0.8909
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8917
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8917
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2873
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6309
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1362.052
UserCPU time millis
85.21
UserCPU time millis testing
4.393
UserCPU time millis training
80.817