What is a Decision Tree?

What is a Decision Tree?

A decision tree is a flowchart-like representation, with internal nodes representing features, branches representing rules, and leaf nodes representing algorithm results This versatile supervised machine-learning algorithm applies to both classification and regression problems, ie and power. Decision trees are valued for their interpretability, as the rules they generate are easy to understand....

What is Iterative Dichotomiser3 Algorithm?

ID3 or Iterative Dichotomiser3 Algorithm is used in machine learning for building decision trees from a given dataset. It was developed in 1986 by Ross Quinlan. It is a greedy algorithm that builds a decision tree by recursively partitioning the data set into smaller and smaller subsets until all data points in each subset belong to the same class. It employs a top-down approach, recursively selecting features to split the dataset based on information gain....

Pseudocode of ID3

def ID3(D, A): if D is pure or A is empty: return a leaf node with the majority class in D else: A_best = argmax(InformationGain(D, A)) root = Node(A_best) for v in values(A_best): D_v = subset(D, A_best, v) child = ID3(D_v, A - {A_best}) root.add_child(v, child) return root...

Python Implementation for ID3 algorithm

Python libraries make it very easy for us to handle the data and perform typical and complex tasks with a single line of code. Python is a programming language that is widely used for machine learning, data analysis, and visualization. To use Python for the ID3 decision tree algorithm, we need to import the following libraries:...

Conclusion

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