Data Types in Machine Learning

Categorical data can be further divided into _____

• Nominal and Ordinal

• Continuous and Discrete

• Numeric and Non-numeric

• Independent and Dependent

Which of the following is an example of nominal data?

• Gender

• Height

• Temperature

• Age

Ordinal data is characterized by _____

• Ordered categories

• Numerical values

• Random sampling

• Independent variables

What type of data is used for counting occurrences?

• Discrete data

• Continuous data

• Qualitative data

• Interval data

What is the primary characteristic of continuous data?

• Can take any value within a range

• Consists of distinct categories

• Is always numerical

• Is limited to whole numbers

Which of the following best describes interval data?

• Data with meaningful differences but no true zero

• Data that can be ordered but not measured

• Data that can be counted and has a true zero

• Data that represents categories without order

What type of data is used to represent categories without any order?

• Nominal data

• Ordinal data

• Discrete data

• Continuous data