###### import numpy as np
import pandas as pd
data=pd.read_excel("../input/jobssss/.xlsx")
y=data['教育经费(万元)']
x=data[['地区生产总值(亿元)', '地方财政一般预算收入(亿元)', '普通高等学校专任教师数(万人)','普通高等学校在校学生数(万人)']]
from sklearn.model_selection import train_test_split #这里是引用了交叉验证
from sklearn.linear_model import LinearRegression #线性回归
from sklearn import metrics
import numpy as np
import matplotlib.pyplot as plt
X_train,X_test, y_train, y_test = train_test_split(x,y,test_size = 0.2,random_state=100)
print ('X_train.shape={}\n y_train.shape ={}\n X_test.shape={}\n, y_test.shape={}'.format(X_train.shape,y_train.shape, X_test.shape,y_test.shape))
linreg = LinearRegression()
model=linreg.fit(X_train, y_train)
print (model)
训练后模型截距
print (linreg.intercept_)
训练后模型权重(特征个数无变化)
print (linreg.coef_)
###### 问题相关代码,请勿粘贴截图
data=pd.read_excel("../input/jobssss/.xlsx") ###### 运行结果及报错内容
###### 我的解答思路和尝试过的方法
###### 我想要达到的结果