What are the advantages and disadvantage of information gain feature reanking algorithm?
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Answer:
Advantages of Decision Tree.
Decision Trees are easy to explain. It results in a set of rules.
It follows the same approach as humans generally follow while making decisions.
Interpretation of a complex Decision Tree model can be simplified by its visualizations. Even a naive person can understand logic.
The Number of hyper-parameters to be tuned is almost null.Assumptions while creating Decision Tree.
The below are the some of the assumptions we make while using Decision tree:
At the beginning, the whole training set is considered as the root.
Feature values are preferred to be categorical. If the values are continuous then they are discretized prior to building the model.
Records are distributed recursively on the basis of attribute values.
Order to placing attributes as root or internal node of the tree is done by using some statistical approach
significant advantage of a decision tree is that it forces the consideration of all possible outcomes of a decision and traces each path to a conclusion. It creates a comprehensive analysis of the consequences along each branch and identifies decision nodes that need further analysis.✔️✔️✔️✔️✔️✔️✔️✔️✔️✔️✔️