请问为什么计算svd的rmse和mae

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from surprise import SVD
from surprise import Dataset
from surprise.model_selection import cross_validate


# Load the movielens-100k dataset (download it if needed),
data = Dataset.load_builtin('ml-100k')

# We'll use the famous SVD algorithm.
algo = SVD()

# Run 5-fold cross-validation and print results
cross_validate(algo, data, measures=['RMSE', 'MAE'], cv=5, verbose=True)

为什么这里要计算svd的rmse和mae

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