Run
8855692

Run 8855692

Task 125923 (Supervised Classification) Australian Uploaded 29-01-2018 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees811
mlr.classif.ranger(9)_mtry13
mlr.classif.ranger(9)_min.node.size15
mlr.classif.ranger(9)_sample.fraction0.268095059879124
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9392
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8684
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7343
Cross-validation details (10-fold Crossvalidation)
KB relative information score
434.9205
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.195
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8694
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8681
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8681
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3947
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3041
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6119
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1052.6107
UserCPU time millis
3.398
UserCPU time millis testing
0.332
UserCPU time millis training
3.066