Run
1815365

Run 1815365

Task 3524 (Supervised Classification) fbis.wc Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.rpart.preproc.preproc.tuned(44)Learner mlr.classif.rpart.preproc.preproc.tuned from package(s) rpart.
mlr.classif.rpart.preproc.preproc.tuned(44)_openml.seed1
mlr.classif.rpart.preproc.preproc.tuned(44)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc.preproc.tuned(44)_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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7567
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7361
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1758.8531
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0274
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1047
Cross-validation details (10-fold Crossvalidation)
Number of instances
2463
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.757
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7674
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.7674
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2613
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2288
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1654
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.723
Cross-validation details (10-fold Crossvalidation)