Run
10457698

Run 10457698

Task 211993 (Supervised Regression) titanic_2 Uploaded 19-05-2020 by sri ranga sai
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  • openml-python Sklearn_0.22.2.post1.
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Flow

sklearn.naive_bayes.GaussianNB(19)Gaussian Naive Bayes (GaussianNB) Can perform online updates to model parameters via :meth:`partial_fit`. For details on algorithm used to update feature means and variance online, see Stanford CS tech report STAN-CS-79-773 by Chan, Golub, and LeVeque: http://i.stanford.edu/pub/cstr/reports/cs/tr/79/773/CS-TR-79-773.pdf
sklearn.naive_bayes.GaussianNB(19)_priorsnull
sklearn.naive_bayes.GaussianNB(19)_var_smoothing1e-09

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.

7 Evaluation measures

Mean absolute error
0.1987 ± 0.0355
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.473 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
Number of instances
891
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.42 ± 0.0749
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4863 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4457 ± 0.0406
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9165 ± 0.0857
Cross-validation details (10-fold Crossvalidation)