During statistical analysis, we often discuss about bias and variance. In machine learning algorithm, how it is important.
What is Bias and Variance in machine learning?
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During statistical analysis, we often discuss about bias and variance. In machine learning algorithm, how it is important.
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Bias in a machine learning model occurs when the predicted values are different from the actual values.
Variance in a machine learning model refers to the amount the target model will change when trained with different training data.