Chronic kidney disease (CKD), is also known as chronic renal disease. Chronic kidney disease means lasting damage to kidneys if the disease in a very bad condition then our kidney may stop working and also decrease our health. By, this we may have complications like high blood pressure, anemia (low blood count), weak bones, poor nutritional health, and nerve damage. To avoid these conditions we should do early detection and treatment for Chronic Kidney Disease. The objective of this research work is to introduce a new deep learning decision support system to predict chronic kidney disease. This work aim is to give a better performance through Conditional Generative Adversarial Network (CGAN) classifier based on its accuracy, precision, and recall for CKD prediction. From the experimental results, it is observed that CGAN gives better performance while comparing with Knearest neighbor (KNN) classifier.