OpenML
8356146

Run 8356146

Task 3 (Supervised Classification) kr-vs-kp Uploaded 31-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1366
mlr.classif.ranger(13)_mtry12
mlr.classif.ranger(13)_min.node.size298
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.218757276167162
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9722
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9392
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.878
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1415.9234
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3126
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9407
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9393
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9393
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6265
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.332
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6647
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1271.6423
UserCPU time millis
35.759
UserCPU time millis testing
2.699
UserCPU time millis training
33.06