Run
8792277

Run 8792277

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 16-01-2018 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.trees617
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_sample.fraction0.361982975783758
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
0.9933
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.958
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.906
Cross-validation details (10-fold Crossvalidation)
KB relative information score
299.4104
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2566
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.959
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9584
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.9584
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5693
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2932
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6177
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1868.2412
UserCPU time millis
2.173
UserCPU time millis testing
0.219
UserCPU time millis training
1.954