ML Algorithms’ sensitivity towards outliers

List of Machine Learning algorithms which are sensitive to outliers:
1- Linear Regression
2- Logistic Regression
3- Support Vector Machine
4- K- Nearest Neighbors
5- K-Means Clustering
6- Hierarchical Clustering
7- Principal Component Analysis

List of Machine Learning algorithms which are not sensitive to outliers:
1- Decision Tree
2- Random Forest
3- XGBoost
4- AdaBoost
5- Naive Bayes

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