Machine Learning, Decision Tree, Random Forest, Adaboost, Gradient Boosting.
imbalanced datasets ✧ Can handle large dataset ✧ Outliers have little impact ✧ Less overfitting ❌ Less interpretable ✧ More computational resources ✧ Prediction time high Linear Regression ✅ Simple ✧ Interpretable ✧ Easy to Implement ❌ Assumes linear relationship between features ✧ Sensitive to