Run
8857104

Run 8857104

Task 145857 (Supervised Classification) phoneme Uploaded 30-01-2018 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1662
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size453
mlr.classif.ranger(9)_sample.fraction0.945628497446887
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.8967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8272
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5762
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2059.8117
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2537
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
0.8263
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8307
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8307
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3469
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7618
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1731.0556
UserCPU time millis
66.593
UserCPU time millis testing
1.729
UserCPU time millis training
64.864