logistics 预测
时间: 2023-10-27 16:07:16 浏览: 34
回答: Logistic回归是一种用于预测分类问题的统计模型。它基于线性回归,并使用logistic函数将线性回归的结果映射到0和1之间的概率值。\[1\] Sigmoid函数,也称为logistic函数,是logistic回归中使用的函数,它可以将线性回归的函数值映射到区间(0,1),作为概率输出。当概率大于等于0.5时,我们将其判定为正类,小于0.5时判定为负类。\[2\]因此,logistic回归可以用于二分类问题,也可以通过多次运行来实现多分类问题。\[2\]在logistic回归中,因变量y的值在0和1之间,可以看作是属于类别1的概率。当0.5≤y≤1时,我们可以判定为类别1,否则判定为类别0。\[3\]
#### 引用[.reference_title]
- *1* [Logistic回归做分类或预测(实战代码)](https://blog.csdn.net/t18438605018/article/details/121906792)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [logistics回归原理推导+纯代码实现泰坦尼克号预测](https://blog.csdn.net/zou_gr/article/details/106960895)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [python做logistic分类预测尝试](https://blog.csdn.net/weixin_39751871/article/details/110778087)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]