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Many beginners will initially rely on the train-test method to evaluate their models. This method is straightforward and seems to give a clear indication of how well a model performs on unseen data. However, this approach can often lead to an incomplete understanding of a model’s capabilities. In this blog, we’ll discuss why it’s important […]
The post From Train-Test to Cross-Validation: Advancing Your Model’s Evaluation appeared first on MachineLearningMastery.com.
“}]] [[{“value”:”Many beginners will initially rely on the train-test method to evaluate their models. This method is straightforward and seems to give a clear indication of how well a model performs on unseen data. However, this approach can often lead to an incomplete understanding of a model’s capabilities. In this blog, we’ll discuss why it’s important
The post From Train-Test to Cross-Validation: Advancing Your Model’s Evaluation appeared first on MachineLearningMastery.com.”}]] Read More Data Science