分类标签归档：决策树
import pandas as pd
from sklearn import preprocessing
from sklearn import tree
from sklearn.datasets import load_boston # 波士顿房价
boston_house = load_boston()boston_feature_name = boston_house.feature_names
boston_features = boston_house.data
boston_target = boston_house.targetboston_featuimport pandas as pd
from sklearn import preprocessing
from sklearn import tree
from sklearn.datasets import load_iris # 花瓣种类
# 加载数据
iris = load_iris()
dir(iris) # iris包含的内容有哪些 如果不懂某些方法 可用 help(iris)
['DESCR', 'data', 'feature_names', 'filename', 'target', 'target_names']
iris_feature_names = ir# 用于数据处理和分析的工具包
import pandas as pd
# 数据处理/特征工程的包
from sklearn import preprocessing
# 决策树建模包
from sklearn import tree
adult_data = pd.read_csv('./DecisionTree.csv')
# 读取前5行
adult_data.head(5)
adult_data.info() # 读入数据的信息<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1000 e