[{'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:plt.figure(2)\nplt.clf()\nplt.xlim(-.02,1.02)\nplt.ylim(-0.02,1.02)\nplt.xlabel('Slope (MHz/ms)')\nplt.ylabel('Power (nW/Hz)')\nplt.imshow(Z_svc, interpolation='nearest',\nextent=(xx.min(), xx.max(), yy.min(), yy.max()), aspect='auto',\norigin='lower',alpha=0.75, cmap=plt.cm.plasma)\nplt.contour(xx, yy, Z_svc, cmap=plt.cm.plasma,alpha=0.75)\nplt.scatter(training_features[:, 0], training_features[:, 1], c=training_classes, edgecolors='k', cmap=plt.cm.plasma,alpha=0.75)\npatch1 = mpatches.Patch(color='midnightblue', label='Main Carrier Type A',alpha=0.75)\npatch2 = mpatches.Patch(color='palevioletred', label='Main Carrier Type B',alpha=0.75)\npatch3 = mpatches.Patch(color='gold', label='Sidebands',alpha=0.75)\nplt.legend(handles=[patch1,patch2,patch3],loc='upper left')\nplt.title('Training Set:\\nSupport Vector Machine')\nif flag_save_fig:\nplt.savefig('/home/les67/Les67P8Analysis/PhaseI/power_slope_identification/multiclass/final_classification_FIGS/SVC_training.png', dpi=300, bbox_inches='tight')\nplt.show()"}, {'role': 'assistant', 'content': "['data_exploration', 'result_visualization']"}]