Data Sparsity occurs in high-dimensional datasets when the full extent of the possible feature space is not provided to the training data. This can result in performance issues after a model is implemented if future observations reach different zones of the feature space that the model did not learn in the training process.
What is Data Sparsity?
Data Sparsity occurs in high-dimensional datasets when the full extent of the possible feature space is not provided to the training data. This can result in performance issues after a model is implemented if future observations reach different zones of the feature space that the model did not learn in the training process.
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