OpenML
8360030

Run 8360030

Task 145853 (Supervised Classification) madelon Uploaded 31-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1961
mlr.classif.ranger(13)_mtry19
mlr.classif.ranger(13)_min.node.size147
mlr.classif.ranger(13)_sample.fraction0.740690560685471
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
0.7555
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6789
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.36
Cross-validation details (10-fold Crossvalidation)
KB relative information score
253.322
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4623
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6824
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.68
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.68
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9246
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4681
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9363
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1261.3233
UserCPU time millis
289.676
UserCPU time millis testing
7.571
UserCPU time millis training
282.105