According to an embodiment, an electronic device comprises at least one processor and a memory, wherein the memory stores instructions that, when executed, cause the at least one processor to control the electronic device to: obtain data to be classified, obtain a feature vector from the data by performing convolution on the data and a plurality of filters using a classification model stored in the memory, identify outputs corresponding to subfeatures using a split layer including the subfeatures resulting from splitting the feature vector, and output a class corresponding to the data based on the outputs.