![]() ![]() In classification problems where the output variable is categorical and input variables are also categorical, a chi-squared test can be used to know if the input variables are even relevant to the output variable. In machine learning, correlation tests can be used for feature selection. We may want to know if parents had a college education has any impact on the success of the student’s new math course. Another group of students’ parents does not have college degrees. One group’s parental level of education is college level. In our dataset, we have two groups of students. For example, say we developed a new math course for seventh-grade students. In statistics, a correlation test is important to understand the impact of different variables on the population. Checking if two variables are independent of each otherĬorrelation tests are very common in statistics and machine learning. ![]()
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