Abstract
So far, during classification, we have been interested in finding a model that decides if an instance belongs to a class or not; the model’s answer would be a yes or no with certainty. The situation with Bayesian modeling for decision-making is different—it estimates the probability that an instance belongs to a certain class, which is more nuanced [1].
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El Morr, C., Jammal, M., Ali-Hassan, H., El-Hallak, W. (2022). Naïve Bayes. In: Machine Learning for Practical Decision Making. International Series in Operations Research & Management Science, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-031-16990-8_9
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