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What is Naive Bayes Algorithm?Naive Bayes Algorithm is used to generate mining models. These models help to identify relationships between input columns and the predictable columns. This algorithm can be used in the initial stage of exploration. The algorithm calculates the probability of every state of each input column given predictable columns possible states. After the model is made, the results can be used for exploration and making predictions. What is Naive Bayes Algorithm?An algorithm is based on statistics. It is used for estimating the probability of a class value during classification and prediction. It was implemented in SQL Server 2005, and assumes that the attributes for input are independent of each other. Naive Bayes results are easier for understanding compared to Neural Networks.
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