[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing 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', 'prediction']"}]