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High Bias and Low variance

High-Bias: Suggests more assumptions about the form of the target function.

Low Variance: Suggests small changes to the estimate of the target function with changes to the training dataset

Also High bias and Low variance is termed as Underfitting


High-bias or Low Variance ML Algorithms: Linear Regression, LDA and Logistic Regression. (Linear algorithms)

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