4. What are the differences between L2 and L1 regularization? For a given linear decision (w,b), calculate the value of the L2 and L1 penalty 5. Describe majorization-minimization and gradient descent

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Decision Tree

A decision tree is a unique kind of probability tree. A popular and powerful tool used for prediction and classification. The decision tree structure is the same as a flowchart with a tree structure. The internal node refers to the attribute test, the branch refers to the outcome of the test, and the leaf node(terminal) contains the class label.