Run
1815588

Run 1815588

Task 14964 (Supervised Classification) artificial-characters 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.svm.preproc.preproc.tuned(78)Learner mlr.classif.svm.preproc.preproc.tuned from package(s) e1071.
mlr.classif.svm.preproc.preproc.tuned(78)_openml.seed1
mlr.classif.svm.preproc.preproc.tuned(78)_openml.kindMersenne-Twister
mlr.classif.svm.preproc.preproc.tuned(78)_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
0.9413
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8943
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8819
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9055.7982
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0211
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.179
Cross-validation details (10-fold Crossvalidation)
Number of instances
10218
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8945
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8943
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2849
Cross-validation details (10-fold Crossvalidation)
Recall
0.8943
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1181
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2992
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1454
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.486
Cross-validation details (10-fold Crossvalidation)