Customer Classification and Prediction (Car Prices) on the basis of Cluster data The objective is - 1.1 The first objective is to segment the consumer (loan) data of the bank using supervised learning algorithms using Decision tree. 1.2 The second objective is to determine the number of appropriate classification model by comparing and contrast using logistic regression, KNN (k-nearest neighbour) and SVM (support vector machine). 1.3 The third objective is to identify significant variables or features and their thresholds for classification.