OpenML
1869732

Run 1869732

Task 3918 (Supervised Classification) pc1 Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(7)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(7)_num.trees1941
mlr.classif.ranger(7)_mtry9
mlr.classif.ranger(7)_sample.fraction0.343269902328029
mlr.classif.ranger(7)_respect.unordered.factorsTRUE
mlr.classif.ranger(7)_num.threads1
mlr.classif.ranger(7)_verboseFALSE
mlr.classif.ranger(7)_openml.seed1
mlr.classif.ranger(7)_openml.kindMersenne-Twister
mlr.classif.ranger(7)_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.

17 Evaluation measures

Area under ROC curve
0.868
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9269
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3417
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-372.5348
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1083
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9295
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9405
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9405
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8337
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8886
Cross-validation details (10-fold Crossvalidation)