Will Kurt • 8/20/2019

Prior Probability in Logistic Regression

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This technical article delves into the relationship between Bayes' Theorem and logistic regression, focusing on how prior probabilities are derived from training data class balance. It explains the impact of class imbalance on model predictions and demonstrates how to update prior probabilities post-training, using a practical example of predicting coffee quality.

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#Machine Learning #classification #Logistic Regression
Prior Probability in Logistic Regression

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