| 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 |
0.8907 ± 0.0372 Per class Cross-validation details (10-fold Crossvalidation)
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0.7129 ± 0.0445 Per class Cross-validation details (10-fold Crossvalidation)
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0.4442 ± 0.0739 Cross-validation details (10-fold Crossvalidation)
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0.3215 ± 0.098 Cross-validation details (10-fold Crossvalidation)
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0.2892 ± 0.041 Cross-validation details (10-fold Crossvalidation)
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0.4472 ± 0.0012 Cross-validation details (10-fold Crossvalidation)
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0.7071 ± 0.0439 Cross-validation details (10-fold Crossvalidation)
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1055 Per class Cross-validation details (10-fold Crossvalidation) |
0.8065 ± 0.0324 Per class Cross-validation details (10-fold Crossvalidation)
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0.7071 ± 0.0439 Cross-validation details (10-fold Crossvalidation)
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0.9223 ± 0.0036 Cross-validation details (10-fold Crossvalidation)
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0.6466 ± 0.0922 Cross-validation details (10-fold Crossvalidation)
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0.4728 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.5335 ± 0.0374 Cross-validation details (10-fold Crossvalidation)
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1.1284 ± 0.0803 Cross-validation details (10-fold Crossvalidation)
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0.7617 ± 0.0393 Cross-validation details (10-fold Crossvalidation)
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