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billion by 2031 at a CAGR of 34.20%. For example, linear regression is typically used to predict continuous variables, while decisiontrees are great for classification and regression tasks. Decisiontrees are easy to interpret but prone to overfitting. The global Machine Learning market was valued at USD 35.80
billion by 2031, growing at a CAGR of 34.20%. DecisionTrees These trees split data into branches based on feature values, providing clear decision rules. Unit testing ensures individual components of the model work as expected, while integration testing validates how those components function together.
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