Lift

In data science, the term lift compares the frequency of an observed pattern within a recordset or population with how frequently you might expect to see that same pattern occur within the data by chance or randomly.

If the lift is very low, then typically, a data scientist will expect that there is a very good probability that the pattern identified is occurring just by chance. The larger the lift, the more likely it is that the pattern is real.