[{'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:model.fit(X_train, y_train, eval_metric=["auc", "logloss", "error"], eval_set=eval_set)\n# retrieve performance metrics\nresults = model.evals_result()\nepochs = len(results[\'validation_0\'][\'auc\'])\nx_axis = range(0, epochs)\n\n# plot auc\nfig, ax = pyplot.subplots()\nax.plot(x_axis, results[\'validation_0\'][\'auc\'], label=\'Train\')\nax.plot(x_axis, results[\'validation_1\'][\'auc\'], label=\'Test\')\nax.legend()\npyplot.ylabel(\'AUC\')\npyplot.title(\'XGBoost AUC by Epoch\')\npyplot.show()\n\n# plot logloss\nfig, ax = pyplot.subplots()\nax.plot(x_axis, results[\'validation_0\'][\'logloss\'], label=\'Train\')\nax.plot(x_axis, results[\'validation_1\'][\'logloss\'], label=\'Test\')\nax.legend()\npyplot.ylabel(\'Logloss\')\npyplot.title(\'XGBoost Logloss by Epoch\')\npyplot.show()\n\n# plot error\nfig, ax = pyplot.subplots()\nax.plot(x_axis, results[\'validation_0\'][\'error\'], label=\'Train\')\nax.plot(x_axis, results[\'validation_1\'][\'error\'], label=\'Test\')\nax.legend()\npyplot.ylabel(\'Error\')\npyplot.title(\'XGBoost Error by Epoch\')\npyplot.show()\''}, {'role': 'assistant', 'content': 'result_visualization'}]