Perfomance analysis of Naive Bayes method with data weighting

Classification using naive bayes algorithm for air quality dataset has an accuracy rate of 39.97%. This result is considered not good and by all existing data attributes. By doing pre-processing, namely feature selection the gain ratio algorithm, Naive Bayes increases to 61.76%. proves that can improve performance classification. dataset. While Water Quality 93.18%. These results are 95.73%. Based on tests have been carried out data, it be seen Weight nave classification model provide better values ​​because there a change in weighting attribute ​​in used. The value weighted Gain used calculate probability Nave Bayes, which parameter see relationship between each as basis higher attribute, greater class. So than generated Naïve model. increase due number weights from ratio.