| Issue | #Downvotes for this reason | By |
|---|
| 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)_priors | null |
| sklearn.naive_bayes.GaussianNB(19)_var_smoothing | 1e-09 |
0.8363 ± 0.0054 Per class Cross-validation details (10-fold Crossvalidation)
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0.5801 ± 0.0143 Per class Cross-validation details (10-fold Crossvalidation)
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0.47 ± 0.0171 Cross-validation details (10-fold Crossvalidation)
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0.5081 ± 0.0165 Cross-validation details (10-fold Crossvalidation)
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0.1485 ± 0.0049 Cross-validation details (10-fold Crossvalidation)
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0.2748 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.5546 ± 0.0146 Cross-validation details (10-fold Crossvalidation)
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13910 Per class Cross-validation details (10-fold Crossvalidation) |
0.6911 ± 0.0122 Per class Cross-validation details (10-fold Crossvalidation)
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0.5546 ± 0.0146 Cross-validation details (10-fold Crossvalidation)
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2.5457 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.5406 ± 0.0177 Cross-validation details (10-fold Crossvalidation)
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0.3707 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.3823 ± 0.0064 Cross-validation details (10-fold Crossvalidation)
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1.0314 ± 0.0173 Cross-validation details (10-fold Crossvalidation)
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0.5578 ± 0.015 Cross-validation details (10-fold Crossvalidation)
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