Machine Learning, Decision Tree, Random Forest, Adaboost, Gradient Boosting.
2… 1… AI-generated image (craiyon) K-Nearest Neighbors ✅ Simple ✧ No training ✧ No assumption about data ✧ Easy to implement ✧ New data can be added seamlessly ✧ Only one hyperparameter ❌ Doesn’t work well in high dimensions ✧ Sensitive to noisy data, missing values, and outliers ✧ Doesn’t work