Customized feature vectors are used to train a machine learning algorithm to automatically identify a network component where a network fault has occurred. A database comprising network components and associated network faults is analyzed to select a set of network components associated with the largest quantity of network faults. Customized features associated with the network faults are identified and selected for use in a feature vector as input to a machine learning algorithm. The features are selected based upon analysis of consistency checks, component configuration limits, and network wide configurations.