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What is a discrete target variable?
DISCRETE/CATEGORIZED VARIABLE A Discrete variable can take only a specific value amongst the set of all possible values or in other words, if you don’t keep counting that value, then it is a discrete variable aka categorized variable. Example: Number of students in a university.
What are target variables?
The target variable of a dataset is the feature of a dataset about which you want to gain a deeper understanding. A supervised machine learning algorithm uses historical data to learn patterns and uncover relationships between other features of your dataset and the target.
Is used when the target variable takes on continuous value?
Linear regression is to be used when the target variable is continuous and the dependent variable(s) is continuous or a mixture of continuous and categorical, and the relationship between the independent variable and dependent variables are linear.
Is gender a discrete variable?
On purpose, I made it sound distinct that a variable is either discrete or continuous….Variable Reference Table : Few Examples.
| Variable | Variable Type | Variable Scale |
|---|---|---|
| Gender | Discrete | Categorical |
| Gender as Binary 1/0 Coding | Discrete | Categorical |
| True/False | Discrete | Categorical |
| Phone Number | Discrete | Nominal |
What is the difference between a continuous variable and a discrete variable?
Discrete variables are the variables, wherein the values can be obtained by counting. On the other hand, Continuous variables are the random variables that measure something. Discrete variable assumes independent values whereas continuous variable assumes any value in a given range or continuum.
Which is an example of a discrete variable?
A Discrete variable can take only a specific value amongst the set of all possible values or in other words, if you don’t keep counting that value, then it is a discrete variable aka categorized variable. Example: Number of students in a university.
How are discrete variables used in machine learning?
ML context : Continuous Variables are used for Regression. A Discrete variable can take only a specific value amongst the set of all possible values or in other words, if you don’t keep counting that value, then it is a discrete variable aka categorized variable.
When do you transform target variables in regression?
This also applies to output variables, called target variables, such as numerical values that are predicted when modeling regression predictive modeling problems. For regression problems, it is often desirable to scale or transform both the input and the target variables. Scaling input variables is straightforward.