引入相关依赖的包

防止不必要的警告

import warnings
warnings.filterwarnings("ignore")
​

引入数据科学基础包

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
import scipy.stats as st
import seaborn as sns

设置属性防止画图中文乱码

mpl.rcParams['font.sans-serif'] = [u'SimHei']
mpl.rcParams['axes.unicode_minus'] = False
​

引入机器学习，预处理，模型选择，评估指标

from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import r2_score
​

引入本次所使用的波士顿数据集

from sklearn.datasets import load_boston
​

引入算法

from sklearn.linear_model import RidgeCV, LassoCV, LinearRegression, ElasticNet

对比SVC，是svm的回归形式

from sklearn.svm import SVR

集成算法

from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor
from xgboost import XGBRegressor