The aim is to detect a fault in a Wafer sensor by looking at the data that is generated by the sensor and then classifying them into Good Wafer (-1) or Faulty/Bad Wafer (1). Used Automated Process for Training and Predictions Process. For the training Process, the Program automatically Selects the Best performing out of 5 different Classification Algorithms using GridSearchCV and ROC-AUC Score.