What are variance and bias?

Bias is the measure of the expected value of the results that differs from the true underlying quantitative parameter being estimated.

Variance describes how much a random variable differs from its expected value(mean) in other words variance is defined as the average of the squares of the differences between the individual (observed) and the expected value.