Comparative Analysis of Decision Tree Algorithms: ID3, C4.5 and Random Forest

To analyze the raw data manually and find the correct information from it is a tough process. But Data mining technique automatically detect the relevant patterns or information from the raw data, using the data mining algorithms. In Data mining algorithms, Decision trees are the best and commonly used approach for representing the data. Using these Decision trees, data can be represented as a most visualizing form. Many different decision tree algorithms are used for the data mining technique. Each algorithm gives a unique decision tree from the input data. This paper focus on the comparison of different decision tree algorithms for data analysis.