data_mining:logistic_regression

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data_mining:logistic_regression [2014/07/20 17:26] – [Regularization] phreazerdata_mining:logistic_regression [2018/05/10 17:48] (current) – phreazer
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 Z.B. aus 3-Klassenproblem 3 binäre Probleme erzeugen. $h_\theta(x)^{(i)} = P(y=i|x;\theta); i=1,2,3$ Z.B. aus 3-Klassenproblem 3 binäre Probleme erzeugen. $h_\theta(x)^{(i)} = P(y=i|x;\theta); i=1,2,3$
  
-Dann wähle Klasse i, die $max_i h_\theta^{(i)}(x)$+Dann wähle Klasse i, die $\max_i h_\theta^{(i)}(x)$
  
 ===== Adressing Overfitting ===== ===== Adressing Overfitting =====
  • data_mining/logistic_regression.1405869974.txt.gz
  • Last modified: 2014/07/20 17:26
  • by phreazer