Run
8653051

Run 8653051

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.trees278
mlr.classif.ranger(15)_mtry5
mlr.classif.ranger(15)_min.node.size10
mlr.classif.ranger(15)_sample.fraction0.157719647698104
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
0.9343
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8705
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.686
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2714.2919
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2111
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
0.87
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8712
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8712
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.509
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.677
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1404.5169
UserCPU time millis
8.7
UserCPU time millis testing
0.38
UserCPU time millis training
8.32