Naive Bayes classifier
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Naive Bayes classifierMLAI/Classification 2019. 10. 6. 18:09
1. Overview 2. Bayes Theorem 2.1 Formula $$P(A|B)=\frac{P(B|A)\times P(A)}{P(B)}$$ 2.2 Example 3. Classifier 3.1 Procedure 3.1.1 Step 1 3.1.2 Step 2 3.1.3 Step 3 The first time we're going to apply it to find out what is the probability that this person walks given his features and X over here is the features or presents the features of that data point. And then we're going to look at all the po..