Run
8772277

Run 8772277

Task 146803 (Supervised Classification) credit-g Uploaded 03-01-2018 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees284
mlr.classif.ranger(16)_mtry11
mlr.classif.ranger(16)_min.node.size91
mlr.classif.ranger(16)_sample.fraction0.438022097013891
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.7832
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7094
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.278
Cross-validation details (10-fold Crossvalidation)
KB relative information score
154.6435
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.353
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
0.7304
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.745
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.745
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8401
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4108
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8964
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1361.3914
UserCPU time millis
0.87
UserCPU time millis testing
0.092
UserCPU time millis training
0.778