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)