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hcistats:logisticregression [2014/07/23 05:59]
Koji Yatani created
hcistats:logisticregression [2014/08/14 05:27] (current)
Koji Yatani
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 ======Logistic Regression====== ======Logistic Regression======
  
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 =====Introduction===== =====Introduction=====
 Logistic Regression is a way to fit your data to the logistic function. The logistic function is as follows: Logistic Regression is a way to fit your data to the logistic function. The logistic function is as follows:
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 Generally, Nagelkerke R-squared becomes larger than Cox and Snell R-squared. In this example, both pseudo R-squares tell us that the model predicts the success rate pretty well. Generally, Nagelkerke R-squared becomes larger than Cox and Snell R-squared. In this example, both pseudo R-squares tell us that the model predicts the success rate pretty well.
  
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 +~~DISCUSSION:​open~~
hcistats/logisticregression.txt ยท Last modified: 2014/08/14 05:27 by Koji Yatani