Run
8748707

Run 8748707

Task 145853 (Supervised Classification) madelon Uploaded 30-12-2017 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees411
mlr.classif.ranger(9)_mtry390
mlr.classif.ranger(9)_min.node.size26
mlr.classif.ranger(9)_sample.fraction0.44453640235588
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
0.8778
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8109
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6223
Cross-validation details (10-fold Crossvalidation)
KB relative information score
830.264
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3623
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
0.8126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8112
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8112
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7247
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3972
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7943
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1734.2259
UserCPU time millis
184.593
UserCPU time millis testing
0.526
UserCPU time millis training
184.067