Standard practice in machine learning evaluation uses a three-way division of the data : Training set, testing set, and validation set. What is the purpose of the validation set and what problem does it solve?
Purposes for the validation set and solve it through what problem.
Introduction
Machine learning is a field of artificial intelligence that uses statistical methods and algorithms to enable computer systems to automatically learn from and improve upon data without being explicitly programmed. In other words, machine learning is the process of training computer systems to recognize patterns in data and make predictions or decisions based on those patterns. Machine learning involves a range of techniques and algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, where the correct answers or outcomes are already known.
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