What technique is used to improve the performance of a machine learning model? 🔊
One key technique to improve the performance of a machine learning model is hyperparameter tuning. This process involves adjusting the parameters that govern the learning process to optimize the model's accuracy and efficiency. Techniques like grid search and random search are commonly used to systematically evaluate various combinations of hyperparameters. Additionally, incorporating cross-validation can help ensure that the model generalizes well to new, unseen data, ultimately enhancing its predictive performance.
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