variance

In machine learning (ML), variance is a concept which is related to errors in the model's predictions, as a results of over-sensitivity and high correlation of the machine learning algorithm to the training data. Due to this over-sensitivity, the ML model becomes complex to explain (explainability) and it captures the complexity inside the training data ... Read more

variance

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