Run
8771815

Run 8771815

Task 3485 (Supervised Classification) scene Uploaded 03-01-2018 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees83
mlr.classif.ranger(16)_mtry209
mlr.classif.ranger(16)_min.node.size55
mlr.classif.ranger(16)_sample.fraction0.87930537997745
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
0.9743
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9581
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8517
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1604.1012
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1136
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9618
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9601
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.9601
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3861
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1936
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5051
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1369.3301
UserCPU time millis
87.038
UserCPU time millis testing
0.261
UserCPU time millis training
86.777