[{'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:predicted_x1 = adaboost_model_for_ConfirmedCases.predict(train_numeric_X)\npredicted_x2 = adaboost_model_for_Fatalities.predict(train_numeric_X)\n\nfig = go.Figure()\nfig.add_trace(go.Scatter(\n    x=train_numeric_Y[\'ConfirmedCases\'],\n    y=train_numeric_Y[\'Fatalities\'],\n    marker=dict(color="crimson", size=12),\n    mode="markers",\n    name="actual",\n))\n\nfig.add_trace(go.Scatter(\n    x=predicted_x1,\n    y=predicted_x2,\n    marker=dict(color="lightseagreen", size=8),\n    mode="markers",\n    name="predicted",\n))\n\nfig.update_layout(title="ADB result",\n                  xaxis_title="ConfirmedCases",\n                  yaxis_title="Fatalities")\n\nfig.show()\''}, {'role': 'assistant', 'content': 'result_visualization'}]