Suppose that have a machine which cuts wooden planks.
The goal is to have each plank be 4 meters long.
Suppose that a machine cuts at least a dozen such wooden planks.
You now measure the lengths of the wooden boards.
BIAS
If every plank of wood was too short, than that would be an example of"The machine has a "high degree of bias" means that the boards are always too long or always too short.
If the wood cutting machine has "low degree of bias" means that boards are cut too long as often as they arehalf of the time and cut too shortlong half of the time.
VARIANCE
A modelwood cutting machine has "High Variancehigh variance" if the wooden planks are not usuallyalmost never the desiredsame length. In fact, insteadOne of the boards was 3.99992 meters long (4 meters, and another board is ideal) the boards are super wonky: such as being 65.1514 meters long. If t the desired length of the wooden board and the actual length of the board usually more than 10 percent different, then your
A wood cutting machine has a "high variancelow". If you translate statistics-speak into every day language, then " degree of high variancevariance" means "inconsistentif the the wooden planks are usually the same length as the other boards."
COMBINATIONS OF VARIANCE AND BIAS
LOW VARIANCE | HIGH VARIANCE | |
---|---|---|
LOW BIAS | the boards are almost perfect | the boards are all different sizes, but the average board length is correct |
HIGH BIAS | all of the boards are exactly 6 meters long instead of the desired 4 meters | the boards are all difference sizes and the average length is nowhere near 4 meters either |