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Nicety, Maisey Cardozo; Barbosa, Flavio Luiz de Moraes; Timur, HerbertArticleMachine learning productivity applied to consumer creditworthiness Future Business Journal Provided in Cooperation with: Faculty
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Machine learning predictivity is applied to make predictions and decisions based on patterns and trends in data.
Any company or individual utilizing machine learning predictivity for making decisions may be required to file.
Machine learning predictivity can be filled out by collecting relevant data, training the model, and using the predictions for decision-making.
The purpose of machine learning predictivity is to improve decision-making processes by utilizing data-driven predictions.
Information such as the data used, the model trained, the predictions made, and the decisions based on those predictions must be reported.
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