Variance (Machine Learning)

How much a model's predictions change when trained on different datasets. High variance means your model is like a moody teenager - it gives wildly different answers depending on what data it sees. Low variance means consistent predictions, but might miss important patterns. It's one half of the fundamental trade-off in machine learning.