As seen in Figure 10, three different locations were trained with their own dataset and the test was performed with data from different locations. Model classification success decreased from 85% to 44% as an independent location. If the regional data used in the training of the models do not provide the classification diversity of the proposed system, it can cause serious problems in classification predictions.