Variance

Variance refers to the variability of model predictions for a given data point, which can indicate how much the model's performance will change with different training data. A model with high variance pays too much attention to the training data, leading to overfitting and poor generalization to new, unseen data. Understanding the trade-off between bias and variance is crucial for creating robust machine learning models.