Run
7996129

Run 7996129

Task 145857 (Supervised Classification) phoneme Uploaded 17-10-2017 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1905
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size1971
mlr.classif.ranger(9)_sample.fraction0.623857713327743
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
0.8424
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7456
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3607
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1044.8682
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3375
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
0.7526
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7663
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7663
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8138
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3931
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8632
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1859.1356
UserCPU time millis
11.969
UserCPU time millis testing
1.503
UserCPU time millis training
10.466