The second pipette error, random error, is known as a statistical measure that outlines the possible fluctuation in pipetted values due to chance events that might not be replicable every time.

The random forest algorithm performs best when comprised of a set of trees that are individually accurate in their predictions, yet which also make "different" mistakes, i.e., have weakly correlated ...