Question

difference between interpolation and extrapolation​

Answer 1

Answer:

Interpolation refers to using the data in order to predict data within the dataset.

Extrapolation is the use of the data set to predict beyond the data set.

Extrapolation is an estimation of a value based on extending a known sequence of values or facts beyond the area.

Interpolation is an estimation of a value within two known values in a sequence of values

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