hcistats:logisticregression

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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