What is a probabilistic regression model?
A regression model that uses not only the weights for each feature, but also the uncertainty of those weights.
probabilistic regression model explained in plain English
A regression model that uses not only the weights for each feature, but also the uncertainty of those weights. A probabilistic regression model generates a prediction and the uncertainty of that prediction. For example, a probabilistic regression model might yield a prediction of 325 with a standard deviation of 12. For more information about probabilistic regression models, see this Colab on tensorflow.org.
Example
Practitioners refer to probabilistic regression model when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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