OpenML
8653159

Run 8653159

Task 3903 (Supervised Classification) pc3 Uploaded 15-12-2017 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(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1293
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size6
mlr.classif.ranger(15)_sample.fraction0.557437593769282
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8492
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8677
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1419
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-260.4473
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1558
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1842
Cross-validation details (10-fold Crossvalidation)
Number of instances
1563
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8799
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9021
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.9021
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8461
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2736
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9026
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1416.0375
UserCPU time millis
8.99
UserCPU time millis testing
0.65
UserCPU time millis training
8.34