What is underfitting in machine learning | Cloud2Data
What is underfitting in machine learning | Cloud2Data
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Underfitting in machine learning refers to a situation where a model fails to capture the underlying patterns in the data during training. It occurs when the model is too simple or lacks complexity, leading to poor performance and an inability to generalize well to unseen data.
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🢬 What is Underfitting in Machine Learning?
🢬 Types of Underfitting
🢬 How to Reduce Underfitting in Machine Learning
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🢬 Related Articles
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What is underfitting in machine learning | Cloud2Data
Underfitting in machine learning refers to a situation where a model fails to capture the underlying patterns in the data during training. It occurs when the mo . . .
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