Mining categorical Covid-19 data using chi-square and logistic regression algorithms.

This paper provide a general overview on different kinds of mining categorical covid-19 data Using Chi-Square and Logistic Regression Algorithms. Our study methodology are categorized into three steps, the first one is data preprocessing & feature extraction approaches, the second is feature selection by using chi-square approach,and finally classification by using Logistic Regression Algorithm approaches. Some techniques are illustrated in details while the others with general explanation. In this research we used two datasets (dataset1 & dataset2) in order to test and train our program. The final result after applying chi-square and logistic regression algorihm to the aforementioned data set , the category of each input case will be determines by the likelihood of belonging to one of the two categories in the data set. [ABSTRACT FROM AUTHOR]