邏輯迴歸

邏輯迴歸（英文：logistic regression / logit regression）係迴歸分析嘅一種。喺邏輯迴歸當中，個應變數係一個二元（得兩個可能數值）變數，例如係「輸定贏」噉；啲自變數就可以係連續可以係離散；邏輯迴歸可以用嚟按一柞個案當中每個喺柞自變數上嘅數值，預測佢哋係兩類當中嘅邊一類。

例如係電子遊戲研究當中可以用嚟靠一個玩家嘅數據嚟估計佢輸定贏^[1]。

$p=P(Y=1)$ ， $1-p=P(Y=0)$ ，用方程式嚟表達嘅話：

\ell =\log _{b}{\frac {p}{1-p}}=\beta _{0}+\beta _{1}x_{1}+\beta _{2}x_{2}

概論

攷

↑ Constant, T., & Levieux, G. (2019, May). Dynamic difficulty adjustment impact on players' confidence . In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-12).

呢篇統計學文係楔位文。歡迎幫維基百科擴寫佢。

[1] Constant, T., & Levieux, G. (2019, May). Dynamic difficulty adjustment impact on players' confidence . In Proceedings of the 2019 CHI conference on human factors in computing systems (pp. 1-12).

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