| Issue | #Downvotes for this reason | By |
|---|
| sklearn.naive_bayes.GaussianNB(18) | 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(18)_priors | null |
| sklearn.naive_bayes.GaussianNB(18)_var_smoothing | 1.1e-09 |
0.9662 ± 0.0078 Per class Cross-validation details (10-fold Crossvalidation)
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0.7598 ± 0.0276 Per class Cross-validation details (10-fold Crossvalidation)
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0.7322 ± 0.0304 Cross-validation details (10-fold Crossvalidation)
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0.7731 ± 0.0314 Cross-validation details (10-fold Crossvalidation)
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0.0483 ± 0.0052 Cross-validation details (10-fold Crossvalidation)
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0.18 Cross-validation details (10-fold Crossvalidation)
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0.759 ± 0.0274 Cross-validation details (10-fold Crossvalidation)
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2000 Per class Cross-validation details (10-fold Crossvalidation) |
0.7664 ± 0.0277 Per class Cross-validation details (10-fold Crossvalidation)
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0.759 ± 0.0274 Cross-validation details (10-fold Crossvalidation)
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3.3219 Cross-validation details (10-fold Crossvalidation)
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0.2681 ± 0.029 Cross-validation details (10-fold Crossvalidation)
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0.3 Cross-validation details (10-fold Crossvalidation)
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0.1992 ± 0.0146 Cross-validation details (10-fold Crossvalidation)
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0.6641 ± 0.0486 Cross-validation details (10-fold Crossvalidation)
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0.759 ± 0.0274 Cross-validation details (10-fold Crossvalidation)
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