Run
8658818

Run 8658818

Task 145853 (Supervised Classification) madelon Uploaded 17-12-2017 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees244
mlr.classif.ranger(16)_mtry324
mlr.classif.ranger(16)_min.node.size6
mlr.classif.ranger(16)_sample.fraction0.857334582833573
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
0.9062
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8365
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6731
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1040.9431
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3237
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
0.8369
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8365
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8365
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6475
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3684
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7368
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.5154
UserCPU time millis
351.32
UserCPU time millis testing
0.686
UserCPU time millis training
350.634