Run
8715550

Run 8715550

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 29-12-2017 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.trees697
mlr.classif.ranger(9)_mtry65
mlr.classif.ranger(9)_min.node.size5
mlr.classif.ranger(9)_sample.fraction0.732377703860402
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
0.9988
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9522
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12207.3402
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0154
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
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9944
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1331
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0709
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2949
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1717.2845
UserCPU time millis
275.873
UserCPU time millis testing
2.249
UserCPU time millis training
273.624