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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
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Confusion Matrix to Calculate Probability
There's indeed a relationship Confusion Matrix to Bayes:
Bayes’ theorem is crucial for interpreting the results from binary classification algorithms, I will show that Bayes’ theorem is simply the rel …