data_mining:naive_bayes

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data_mining:naive_bayes [2015/08/04 14:51] – [Beispiel] phreazerdata_mining:naive_bayes [2015/08/04 15:01] – [Bayes rule] phreazer
Line 16: Line 16:
 ====== Bayes rule ====== ====== Bayes rule ======
  
-Datensatz:+**Datensatz:**
  
 ^ R ^ B | ^ R ^ B |
Line 28: Line 28:
 R=y und B=y für i 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:
  • data_mining/naive_bayes.txt
  • Last modified: 2015/08/04 15:02
  • by phreazer