If the definition of "unbiased" and "fair" is that the model flags squares and circles at a rate or proportion equal to the population distribution of squares and circles, then the model is unbiased and fair.
As noted above, this doesn't do anything for performance.
If the definition of "unbiased" and "fair" is that the model flags squares and circles at a rate or proportion equal to the population distribution of squares and circles, then the model is unbiased and fair.
As noted above, this doesn't do anything for performance.