Run
1848045

Run 1848045

Task 21 (Supervised Classification) car Uploaded 01-03-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.gausspr.preproc(1)Learner mlr.classif.gausspr.preproc from package(s) kernlab.
mlr.classif.gausspr.preproc(1)_fitFALSE
mlr.classif.gausspr.preproc(1)_openml.seed1
mlr.classif.gausspr.preproc(1)_openml.kindMersenne-Twister
mlr.classif.gausspr.preproc(1)_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
0.9873
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6715
Cross-validation details (10-fold Crossvalidation)
KB relative information score
821.3509
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1453
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.834
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8623
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8623
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6346
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2327
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6884
Cross-validation details (10-fold Crossvalidation)