Introduction to Feature Selection: How to Improve Model Accuracy

September 22, 2024 ⚊ 1 Min read ⚊ Views 19 ⚊ TECH

Feature selection is key in machine learning, helping identify the most relevant features from a dataset. Irrelevant or redundant data can add complexity, impacting model accuracy. By applying these techniques, you can streamline your model and reduce overfitting. Read more to know how it improves efficiency and accuracy.

Read details: https://www.hituponviews.com/introduction-to-feature-selection-how-to-improve-model-accuracy/

Tags: Data Science, feature selection

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