| Issue | #Downvotes for this reason | By |
|---|
| sklearn.naive_bayes.GaussianNB(22) | 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(22)_priors | null |
| sklearn.naive_bayes.GaussianNB(22)_var_smoothing | 1e-09 |
0.8235 ± 0.0355 Per class Cross-validation details (10-fold Crossvalidation)
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0.8028 ± 0.0109 Per class Cross-validation details (10-fold Crossvalidation)
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0.4025 ± 0.039 Cross-validation details (10-fold Crossvalidation)
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-0.2015 ± 0.0655 Cross-validation details (10-fold Crossvalidation)
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0.2299 ± 0.0125 Cross-validation details (10-fold Crossvalidation)
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0.2409 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
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0.7701 ± 0.0125 Cross-validation details (10-fold Crossvalidation)
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3279 Per class Cross-validation details (10-fold Crossvalidation) |
0.892 ± 0.0156 Per class Cross-validation details (10-fold Crossvalidation)
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0.7701 ± 0.0125 Cross-validation details (10-fold Crossvalidation)
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0.5842 ± 0.0022 Cross-validation details (10-fold Crossvalidation)
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0.9544 ± 0.052 Cross-validation details (10-fold Crossvalidation)
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0.347 ± 0.0009 Cross-validation details (10-fold Crossvalidation)
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0.4795 ± 0.0129 Cross-validation details (10-fold Crossvalidation)
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1.3821 ± 0.0373 Cross-validation details (10-fold Crossvalidation)
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0.8216 ± 0.0363 Cross-validation details (10-fold Crossvalidation)
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