OpenML
8305227

Run 8305227

Task 3485 (Supervised Classification) scene Uploaded 29-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1656
mlr.classif.ranger(13)_mtry3
mlr.classif.ranger(13)_min.node.size55
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.619062776258215
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9301
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8163
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2978
Cross-validation details (10-fold Crossvalidation)
KB relative information score
558.96
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2193
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8567
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8567
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7454
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3052
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7961
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1311.703
UserCPU time millis
141.009
UserCPU time millis testing
5.997
UserCPU time millis training
135.012