Variance in machine learning is a measurement of the spread between numbers in a dataset (x independent variables) or a measurement of the variation of an ML model’s estimations across different datasets. ML models with high bias and low variance lead to underfitting. ML models with low bias and high variance lead to overfitting. ML … Read more