Differences
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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| data_mining:naive_bayes [2015/08/04 14:51] – [Beispiel] phreazer | data_mining:naive_bayes [2015/08/04 15:02] (current) – [Bayes rule] phreazer | ||
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| Line 16: | Line 16: | ||
| ====== Bayes rule ====== | ====== Bayes rule ====== | ||
| - | Datensatz: | + | **Datensatz:** |
| ^ R ^ B | | ^ R ^ B | | ||
| Line 23: | Line 23: | ||
| | y | n | | | y | n | | ||
| - | n: Einträge | + | * n: Einträge |
| - | R=y für r Fälle | + | |
| - | B=y für k Fälle | + | |
| - | R=y und B=y für i Fälle | + | |
| - | p(B|R) = i/r | + | * $p(B|R) = i/r$ |
| - | p(R) = r/n | + | * $p(R) = r/n$ |
| - | p(R und B) = i/n = (i/r) * (r/n) | + | * $p(R und B) = i/n = (i/r) * (r/n)$ |
| - | p(B,R) = p(B|R) p(R) | + | * $p(B,R) = p(B|R) p(R)$ |
| Bayes Rule: | Bayes Rule: | ||