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AIEX exiles the AI solutions. Builds and analyze Classification and prediction Classification is the process of designing a set of models to predict the class of objects whose class label is unknown. The derived model may be represented in various forms, such as if-then rules, decision trees, or mathematical formulas. A decision tree is a flowchart-like tree structure where each node denotes a test on an attribute value, each branch represents an outcome of the test, and each tree leaf represents a class or class distribution. Decision trees can be converted to Classification rules. Classification can be used for predicting the class label of data objects. Prediction encompasses the identification of distribution trends based on the available data. reach out to us; we’re here to help.