[null,null,["最后更新时间 (UTC):2024-08-13。"],[[["Logistic regression models are trained similarly to linear regression models but use Log Loss instead of squared loss and require regularization."],["Log Loss is used in logistic regression because the rate of change isn't constant, requiring varying precision levels unlike squared loss used in linear regression."],["Regularization, such as L2 regularization or early stopping, is crucial in logistic regression to prevent overfitting due to the model's asymptotic nature."]]],[]]