[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:predictions_10_layer = gray_10_layer_model.predict(X_test)\ngray_10_layer_accuracy = accuracy_score(y_test, predictions_10_layer)\nprint("The accuracy of 10 Layers CNN Grayscale model is: " + str(gray_10_layer_accuracy))\nprint("***************************************************")\nprint("***************************************************")\nprint("Saving 10 Layers CNN Grayscale Model")\ngray_10_layer_model.save("grayscale_cnn_10_layers.h5")\ngrayscale_cnn_10_layers_val_losses = np.array(history_10_layer.val_losses)\ngrayscale_cnn_10_layers_losses = np.array(history_10_layer.losses)\nnp.save("grayscale_cnn_10_layers_val_losses.npy", grayscale_cnn_10_layers_val_losses)\nnp.save("grayscale_cnn_10_layers_losses.npy", grayscale_cnn_10_layers_losses)'}, {'role': 'assistant', 'content': 'evaluation'}]