Run
8739348

Run 8739348

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.trees1588
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size9
mlr.classif.ranger(9)_sample.fraction0.716533409897238
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
0.9976
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6848
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4659.4984
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0624
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
0.9714
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9712
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9712
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5399
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1424
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5925
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1731.0996
UserCPU time millis
151.932
UserCPU time millis testing
7.444
UserCPU time millis training
144.488