Run
8749514

Run 8749514

Task 3889 (Supervised Classification) sylva_agnostic 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.trees1381
mlr.classif.ranger(9)_mtry88
mlr.classif.ranger(9)_min.node.size911
mlr.classif.ranger(9)_sample.fraction0.934614846203476
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
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9789
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.806
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3834.3214
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0514
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.98
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9803
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4451
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5644
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1724.5497
UserCPU time millis
648.826
UserCPU time millis testing
3.903
UserCPU time millis training
644.923