OpenML
1869764

Run 1869764

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.trees590
mlr.classif.ranger(7)_mtry3
mlr.classif.ranger(7)_sample.fraction0.851883989828639
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
0.8748
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9202
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2818
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-295.23
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1041
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
0.9193
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9351
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2226
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8758
Cross-validation details (10-fold Crossvalidation)