| Issue | #Downvotes for this reason | By |
|---|
| sklearn.naive_bayes.GaussianNB(16) | 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(16)_priors | null |
| sklearn.naive_bayes.GaussianNB(16)_var_smoothing | 1e-09 |
0.9567 ± 0.0016 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6392 ± 0.009 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6277 ± 0.0096 Cross-validation details (10-fold Crossvalidation)
|
0.6887 ± 0.0076 Cross-validation details (10-fold Crossvalidation)
|
0.0318 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
|
0.074 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.6421 ± 0.0092 Cross-validation details (10-fold Crossvalidation)
|
20000 Per class Cross-validation details (10-fold Crossvalidation) |
0.6557 ± 0.0093 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6421 ± 0.0092 Cross-validation details (10-fold Crossvalidation)
|
4.6998 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.43 ± 0.0077 Cross-validation details (10-fold Crossvalidation)
|
0.1923 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.1394 ± 0.0018 Cross-validation details (10-fold Crossvalidation)
|
0.7248 ± 0.0095 Cross-validation details (10-fold Crossvalidation)
|
0.6409 ± 0.0092 Cross-validation details (10-fold Crossvalidation)
|