[{'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:index=list(range(train_df.shape[0]))<br>\\t<br>random.shuffle(index)<br>a=[np.nan]*len(train_df)<br>b=[np.nan]*len(train_df)<br>c=[np.nan]*len(train_df)<br><br>for i in range(5):<br>    building_level={}<br>    for j in train_df['manager_id'].values:<br>        building_level[j]=[0,0,0]<br>    test_index=index[int((i*train_df.shape[0])/5):int(((i+1)*train_df.shape[0])/5)]<br>    train_index=list(set(index).difference(test_index))<br>    for j in train_index:<br>        temp=train_df.iloc[j]<br>        if temp['interest_level']=='low':<br>            building_level[temp['manager_id']][0]+=1<br>        if temp['interest_level']=='medium':<br>            building_level[temp['manager_id']][1]+=1<br>        if temp['interest_level']=='high':<br>            building_level[temp['manager_id']][2]+=1<br>    for j in test_index:<br>        temp=train_df.iloc[j]<br>        if sum(building_level[temp['manager_id']])!=0:<br>            a[j]=building_level[temp['manager_id']][0]*1.0/sum(building_level[temp['manager_id']])<br>            b[j]=building_level[temp['manager_id']][1]*1.0/sum(building_level[temp['manager_id']])<br>            c[j]=building_level[temp['manager_id']][2]*1.0/sum(building_level[temp['manager_id']])<br>   <br> <br>train_df['manager_level_low']=a<br>train_df['manager_level_medium']=b<br>train_df['manager_level_high']=c<br>"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]