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What are the examples of categorical variables?
Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level.
Is the target variable The independent variable?
In data mining tools (for multivariate statistics and machine learning), the dependent variable is assigned a role as target variable (or in some tools as label attribute), while an independent variable may be assigned a role as regular variable.
Which is an example of a categorical variable?
Categorical or nominal A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to the categories. For example, a binary variable (such as yes/no question) is a categorical variable having two categories (yes or no) and there is no intrinsic ordering to the categories.
How to find correlation between categorical and target variables?
Join the DZone community and get the full member experience. Before making any machine learning model on a tabular dataset, normally we check whether there is a relation between the independent and target variables. This can be done by measuring the correlation between two variables.
What is the correlation between continuous and categorical variables?
Correlation between continuous and categorial variables •Point Biserial correlation – product-moment correlation in which one variable is continuous and the other variable is binary (dichotomous) – Categorical variable does not need to have ordering – Assumption: continuous data within each group created by the binary variable are normally
Can you use more than one predictor for a target variable?
Reading from your comments, it appears you can use more that one predictor for your target variable. If you want to understand whether Gender (M/F) has a significant association, you should run a logistic regression using it together with other predictors.