Figure 9. Confusion matrix of the main model's classification success In order to determine the advantages of the federated learning model, after creating models with the training data of the datasets for each location, test data and data from other locations were used as shown in Table 4. The aim here is to show that the success of classification made with data ranges that are not in the training dataset will be low. Table 4. Dataset mapping of locations