Train-Test Split: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Train-Test Split = '''Train-Test Split''' is a fundamental technique in machine learning used to evaluate the performance of a model by dividing the dataset into two parts: a training set and a testing set. == What is Train-Test Split? == The dataset is split into: * '''Training Set:''' Used to train the machine learning model. * '''Testing Set:''' Used to evaluate how well the trained model performs on unseen data. This helps measure the model’s ability to ge..." |
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train test split machine learning, train test ratio, splitting dataset for ML, importance of train test split, how to split data in ML, train test split example, model evaluation techniques | train test split machine learning, train test ratio, splitting dataset for ML, importance of train test split, how to split data in ML, train test split example, model evaluation techniques | ||
[[Category:Artificial Intelligence]] | |||