The best machine learning technique for classification depends on the problem complexity and data characteristics. For structured data, tree-based methods like Random Forest and Gradient Boosting (e.g., XGBoost) are highly effective. For unstructured data, such as images or text, deep learning models like CNNs and transformers are the best choices. Simpler problems with small datasets may benefit from logistic regression or support vector machines (SVMs), as they are efficient and easy to implement.
Which is the best machine learning technique to classify?
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