Planetary Science
Model selection is the process of choosing the most appropriate statistical or computational model from a set of candidate models to best explain a given dataset. This involves evaluating how well different models fit the data, balancing complexity and performance, and considering factors such as overfitting and generalization. In planetary science, model selection is crucial for accurately interpreting data related to celestial bodies and understanding their formation and evolution.
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