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overfitting high dimensional data

Curse of dimensionality

The curse of dimensionality is a problem where high-dimensional spaces become sparse and harder for models to learn from reliably. As the number of features grows, the data space expands ...

The curse of dimensionality is a problem where high-dimensional spaces become sparse and harder for models to learn from reliably. As the number of features grows, the data space expands Read article

Overfitting

Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but ...

Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but Read article