Run
1815309

Run 1815309

Task 2075 (Supervised Classification) abalone Uploaded 09-09-2016 by Michel Lang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart.preproc.preproc.tuned(29)Learner mlr.classif.rpart.preproc.preproc.tuned from package(s) rpart.
mlr.classif.rpart.preproc.preproc.tuned(29)_openml.seed1
mlr.classif.rpart.preproc.preproc.tuned(29)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc.preproc.tuned(29)_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
0.5708
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2188
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1451
Cross-validation details (10-fold Crossvalidation)
KB relative information score
807.6188
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0514
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2404
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2545
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2545
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8321
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2267
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2904
Cross-validation details (10-fold Crossvalidation)