IBM Data WH Naive Bayes

Naive Bayes is a well-known algorithm for classification problems. The model is termed naïve because it treats all proposed prediction variables as being independent of one another. Naive Bayes is a fast, scalable algorithm that calculates conditional probabilities for combinations of attributes and the target attribute. From the training data, an independent probability is established. This probability gives the likelihood of each target class, given the occurrence of each value category from each input variable.