Enactment analysis of classification method for voting in traffic prediction.

Prediction analysis is a data mining method used to predict future possibilities based on current information. The traffic prediction techniques have 3 steps which are preprocessing, feature extraction & classification. In pre-processing data set is assembled which is used to distant missing and unwanted values. In the feature extraction phase, the relationship between attribute and target set is settled. This study has been influenced by the different possibilities. The proposed method is a combination of Logistic Regression and KNN classifier compiled laidback by means of a voting classifier intended to predict traffic. The hybrid model gives good results as compared to linear regression model in terms of MSE. When the MSE value get reduced then accuracy get improved for the Traffic prediction. [ABSTRACT FROM AUTHOR]