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What are the differences between ID3 and C4 5 algorithm?
ID3 only work with Discrete or nominal data, but C4. 5 work with both Discrete and Continuous data. Random Forest is entirely different from ID3 and C4. 5, it builds several trees from a single data set, and select the best decision among the forest of trees it generate.
How does the ID3 algorithm work?
ID3 in brief Invented by Ross Quinlan, ID3 uses a top-down greedy approach to build a decision tree. In simple words, the top-down approach means that we start building the tree from the top and the greedy approach means that at each iteration we select the best feature at the present moment to create a node.
What’s the difference between cart and ID3 algorithms?
CART does binary splits. ID3, C45 and the family exhaust one attribute once it is used. This makes sometimes a difference which means that in CART the decisions on how to split values based on an attribute are delayed. Which means that there are pretty good chances that a CART might catch better splits than C45.
Why does ID3 not guarantee an optimal solution?
ID3 uses a greedy approach that’s why it does not guarantee an optimal solution; it can get stuck in local optimums. ID3 can overfit to the training data (to avoid overfitting, smaller decision trees should be preferred over larger ones). This algorithm usually produces small trees, but it does not always produce the smallest possible tree.
How is a decision tree generated in ID3?
ID3 is used to generate a decision tree from a dataset commonly represented by a table. To construct a decision tree, ID3 uses a top-down, greedy search through the given columns, where each column (further called attribute) at every tree node is tested, and selects the attribute that is best for classification of a given set.
How is cart algorithm similar to C4.5?
CART Algorithm is an abbreviation of C lassification A nd R egression T rees. It was invented by Breiman et al. in 1984. It is generally very similar to C4.5, but have the following major characteristics: Rather than general trees that could have multiple branches, CART makes use binary tree, which has only two branches from each node.