machine-learning - 在“多项式”或“线性模型”中考虑分类特征是否有用？(Is it useful to consider a categorical features into a `polynomial` or `linear model`?)

Question

In Titanic dataset, i have a dataset containing Categorical features (such as Cabin , Embark and Sex ).

(在Titanic数据集中，我有一个包含分类特征（例如Cabin ， Embark和Sex ）的数据集。)

I need to build a linear or polynomial model with multiple variables to predict Survive .

(我需要建立具有多个变量的线性或多项式模型来预测Survive 。)

I wish to consider Categorical features as well.

(我也希望考虑分类功能。)

Let's say, i can replace all categorical values with a respected numerical value.

(假设我可以用受尊重的数值替换所有分类值。)

For example about Sex column, I can replace: 1 with male and 2 with female

(例如，关于“ Sex列，我可以替换为： 1 male ， 2 female)

My question is:

(我的问题是：)

Is it useful to consider a categorical features into a polynomial or linear model ?

(将分类特征考虑到polynomial或linear model是否有用？)

  ask by Jeff translate from so

Answer 1

等待大神答复