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1 pycharm console
Run - Edit Configurations -Run with Python Console
2.决策树
from sklearn.model_selection import cross_val_score
from sklearn.datasets import make_blobs
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.tree import DecisionTreeClassifier
##创建100个类共10000个样本，每个样本10个特征
X, y = make_blobs(n_samples=10000, n_features=10, centers=100,random_state=0)
## 决策树
clf1 = DecisionTreeClassifier(max_depth=None, min_samples_split=2,random_state=0)
scores1 = cross_val_score(clf1, X, y)
print(scores1.mean())
## 随机森林
clf2 = RandomForestClassifier(n_estimators=10, max_depth=None,min_samples_split=2, random_state=0)
scores2 = cross_val_score(clf2, X, y)
print(scores2.mean())
## ExtraTree分类器集合
clf3 = ExtraTreesClassifier(n_estimators=10, max_depth=None,min_samples_split=2, random_state=0)
scores3 = cross_val_score(clf3, X, y)
print(scores3.mean())
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