In this paper, radar parameters measured by EW systems are aimed to determine the platform types with which they are related. First, an efficient preprocessing method is applied, which involves quantifying range values and grouping class values to improve classification performance. Then, Multi-task Learning (MTL) neural network, Support Vector Machine (SVM) and Error-Correcting Output Codes(ECOC) techniques are applied to the problem. It is observed that ECOC technique outperforms SVM and MTL technique. It is considered that the result of the classification process can be used in the selection of the type and parameters of the filter used for tracking.