Data Science, Machine Learning, Extrapolation, Regression, IBM.
benefits and drawbacks of each model. Figure 0.2 Extrapolation Set As noted above, extrapolation is necessary when a model needs to make predictions on data that is outside of the known or previously seen distribution. In these three use cases, the full dataset is already captured. Thus, we need to