In Statistics, logistic regression (로지스틱 회귀, logit regression, logit model) is a Regression analysis where the dependent variable (DV) is categorical like as "0" and "1", which represent outcomes such as pass/fail, win/lose, alive/dead or healthy/sick. (https://en.wikipedia.org/wiki/Logistic_regression)
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