Archives for generalisation
The system makes bold predictions about which portions of a road network are likely to become accident hotspots, even when such locations have a zero-event history.
A machine learning model is only as good as the data it’s trained on. In other words, the poor performance of a model is mainly due to overfitting and underfitting. Overfitting happens when the model is modelled ‘too well’ on the training data. Underfitting refers to a model that can neither model the training data…
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