Classification Models

In this lesson, we will learn classification models. Binary and multi-class classification, Logistic Regression, Decision Tree, Random Forest, probability output, threshold, confusion matrix logic, and business interpretation of classification results will be explained. ## Lesson objective In this lesson, we will learn Classification Models. In the previous lesson, we covered Regression Models and Forecasting Logic. We explained numerical target, Linear Regression, Multiple Regression, coefficient, intercept, forecast, trend, seasonality, lag feature, moving average, MAE, RMSE, and R².