✅ 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 well with large data sets — cost of calculating distance is high ✧ Needs feature scaling ✧ Doesn’t work well on imbalanced data ✧ Doesn’t deal well with missing values

✅ Doesn’t require standardiz...