[{'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:import numpy as np<br>import pandas as pd<br>import sklearn as sk<br>from sklearn import svm<br>from sklearn import ensemble<br>from sklearn.ensemble import AdaBoostClassifier<br>from sklearn.ensemble import RandomForestClassifier<br>from sklearn.ensemble import ExtraTreesClassifier<br>from sklearn.tree import DecisionTreeClassifier<br>from sklearn.naive_bayes import GaussianNB<br>from sklearn import linear_model<br>from sklearn.linear_model import SGDClassifier<br>from sklearn.preprocessing import StandardScaler<br>from sklearn.neural_network import MLPClassifier<br><br># PlayerID,Name,GP,MIN,PTS,FGM,FGA,FG%,3P Made,3PA,3P%,FTM,FTA,FT%,OREB,DREB,REB,AST,STL,BLK,TOV,TARGET_5Yrs<br><br>train = pd.read_csv("../input/train.csv")<br>test = pd.read_csv("../input/test.csv")<br>X = train.values[:,2:20]<br>y = train.values[:,21]<br>y = y.astype(\'int\')<br>print (X)<br>print (y)<br><br>test_X = test.values[:,2:20]<br># test_y = test.values[:,21]<br>print (test_X)<br># print (test_y)<br>'}, {'role': 'assistant', 'content': "['load_data']"}]