Run
8082614

Run 8082614

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 18-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1769
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size28
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.617897321656346
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.8375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6973
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3224
Cross-validation details (10-fold Crossvalidation)
KB relative information score
106.1718
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3788
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
0.792
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7454
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.7454
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8403
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4157
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8759
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1997.5603
UserCPU time millis
3.368
UserCPU time millis testing
0.468
UserCPU time millis training
2.9