The No Free Lunch theorem in Machine Learning says that no single machine learning algorithm is universally the best algorithm. In fact, the goal of machine learning models is not find an algorithm that will be the best.
If one algorithm works good for a given problem it may not work well for some other problem. So there is no universally best algorithm that works very well in all cases
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