Data drift occurs when a model sees production data that differs from its training data. If a model is asked to make a prediction based upon drifted data, the model is unlikely to achieve its reported performance. This phenomenon happens because during training, a model attempts to learn the most pertinent features to the train dataset. The most important features of the training dataset, however, are not universal to all data. Modzy developed a statistical method of detecting drift between your data and a model’s training data.
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Bybit
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Bybit, a crypto exchange, offers an ultra-fast matching engine across Spot, F&O, launchpads, earn products, NFTs & more.