I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.

There are many other techniques for binary classification, but logistic regression was one of the earliest developed and the technique is considered a fundamental machine learning skill for data ...

Dimitris Bertsimas, Angela King, Logistic Regression: From Art to Science, Statistical Science, Vol. 32, No. 3 (August 2017), pp. 367-384 ...

Estimation is considered for the class of conditional logistic regression models for clustered binary data proposed by Qu et al. (Communications in Statistics, Series A 16, 3447-3476, 1987) when ...

The CATMOD procedure can perform linear regression and logistic regression of response functions for data that can be represented in a contingency table. See Chapter 5, "Introduction to Categorical ...