A fairness metric that is satisfied if the results of a model’s classification are not dependent on a given sensitive attribute. For example, if both Lilliputians and Brobdingnagians apply to...
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What is convex function in Machine Learning
A function in which the region above the graph of the function is a convex set. The prototypical convex function is shaped something like the letter U. For example, the following are all convex functions: By...
