Machine Learning approaches are great in taking care of issues that have less data. Much of the time, the product space issues portray as a procedure of discovering that rely on upon the different conditions and changes as needs be. A prescient model is built by utilizing machine learning methodologies and characterized them into faulty and non-damaged modules. Machine learning methods help designers to recover valuable data after the arrangement and empower them to examine information from alternate points of view. Machine learning methods are turned out to be valuable as far as programming bug. In this paper forecast by SVM with Gaussian and polynomial kernel and use SVM method with component base learning adaptive boost