I have a very simple dataset of employee age and years of experience as features and income as label. The ask is to predict the income level using various regressors and I am using 4: Decision Trees (DT), Random Forest (RF), K-Nearest Neighbor (KNN) and Linear Regression (LR). The following table gives the income level as predicted by each of the 4 regressors.