决策树方法-对买电脑进行分类预测

用决策树方法对买电脑进行分类预测

from sklearn.feature_extraction import DictVectorizer
import csv
from sklearn import preprocessing
from sklearn import tree
# from sklearn.externals.six import StringIO
 
allElectronicsDate = open(r'E:\Python\practice\Decision_Tree\Class_buys_computer.csv','rt')
reader = csv.reader(allElectronicsDate)#CSV模块自带的reader方法，可按行读取内容
# print('reader:'+ str(reader))
headers = next(reader)
 
print(headers)
 
 
featureList = []
labelList = []
 
for row in reade