sklearn分类树
python
from sklearn import tree
import pandas
import graphviz
from sklearn.datasets import load_wine
from sklearn.model_selection import train_test_split
wine = load_wine()
# print(wine.data)
# print(wine.data.shape)
# print(wine.keys())
# print(wine.target)
feature_names=wine.feature_names
# print(pandas.DataFrame(wine.feature_names))
# print(pandas.concat([pandas.DataFrame(wine.data),pandas.DataFrame(wine.target)],axis=1))
X_train,X_text,Y_train,Y_text = train_test_split(wine.data,wine.target,test_size=0.3)
# print(X_text)
print(len(X_train