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. 2022 Feb 18;17(2):e0263790. doi: 10.1371/journal.pone.0263790

Fig 1. Framework for machine learning.

Fig 1

Data is collected from database and undergo data pre-processing techniques such as one-hot encoding to transform and enhance the quality of the data. The resulting data is split into a training and testing set. The training set is used to train the ML model while the testing set is used to evaluate the model and make predictions.