Machine Learning, Cancer.
90% = 9% → In this case 9% of the time expect smoke to mean a dangerous fire. Now, how does this apply to a classification problem? Essentially, Naive Bayes calculates the probabilities for all input features (in our case, would be the features of the cell that contributes to cancer). Then, it