Run
8650239

Run 8650239

Task 146803 (Supervised Classification) credit-g Uploaded 13-12-2017 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.trees1323
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size11
mlr.classif.ranger(15)_sample.fraction0.212744220579043
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
0.7963
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7235
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3131
Cross-validation details (10-fold Crossvalidation)
KB relative information score
160.0915
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3542
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.746
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.756
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.756
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.843
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4067
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8874
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1375.4133
UserCPU time millis
3.54
UserCPU time millis testing
0.39
UserCPU time millis training
3.15