Run
8546047

Run 8546047

Task 145972 (Supervised Classification) credit-g Uploaded 20-11-2017 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.trees908
mlr.classif.ranger(15)_mtry2
mlr.classif.ranger(15)_min.node.size91
mlr.classif.ranger(15)_sample.fraction0.78661253717728
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
0.7932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6375
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1203
Cross-validation details (10-fold Crossvalidation)
KB relative information score
119.0527
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3726
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
0.7364
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.722
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.722
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8868
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4175
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9111
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1305.8378
UserCPU time millis
2.22
UserCPU time millis testing
0.27
UserCPU time millis training
1.95