Machine Learning, Decision Tree, Random Forest, Adaboost, Gradient Boosting.
outliers Logistic Regression ✅ Doesn’t assume linear relationship between independent and dependent variables ✧ Output can be interpreted as probability ✧ Robust to noise ❌ Requires more data ✧ Effective when linearly separable Lasso Regression (L1) ✅ Prevents overfitting ✧ Selects features by