Guide to Cross-validation with Julius
Analytics Vidhya
MAY 9, 2024
Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. It involves dividing a training dataset into multiple subsets and testing it on a new set. This prevents overfitting by encouraging the model to learn underlying trends associated with the data. The goal is to develop a model that […] The post Guide to Cross-validation with Julius appeared first on Analytics Vidhya.
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