linear logistic regression
linear logistic regression
线性逻辑回归
以上为机器翻译结果，长、整句建议使用 人工翻译 。
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Applying L1 or L2 to penalize large coefficients is a common way to regularize linear or logistic regression.
使用L1或L2去惩罚大系数是一种正则化线性或逻辑回归模型的常见方式。
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Intention-to-treat analysis was performed with the use of linear regression and logistic-regression models.
意向性治疗分析则使用线性回归及逻辑回归分析模型。
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