Run
8653955

Run 8653955

Task 3913 (Supervised Classification) kc2 Uploaded 15-12-2017 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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1441
mlr.classif.ranger(15)_mtry13
mlr.classif.ranger(15)_min.node.size47
mlr.classif.ranger(15)_sample.fraction0.342144766356796
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8204
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8373
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4958
Cross-validation details (10-fold Crossvalidation)
KB relative information score
136.5423
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3266
Cross-validation details (10-fold Crossvalidation)
Number of instances
522
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8359
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8391
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.734
Cross-validation details (10-fold Crossvalidation)
Recall
0.8391
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6814
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4037
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3377
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8365
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1485.4601
UserCPU time millis
2.06
UserCPU time millis testing
0.2
UserCPU time millis training
1.86