/Python/Decision tree classifier sklearn

Decision tree classifier sklearn

Decisiontreeclassifier sklearn

from sklearn.tree import DecisionTreeClassifier

Skit learn decision

from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import export_text
iris = load_iris()
decision_tree = DecisionTreeClassifier(random_state=0, max_depth=2)
decision_tree = decision_tree.fit(iris.data, iris.target)
r = export_text(decision_tree, feature_names=iris['feature_names'])
print(r)

Source: scikit-learn.org

Skit learn decision

clf.predict([[2., 2.]])

Source: scikit-learn.org

Decision tree classifier sklearn

from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier(random_state=0)
iris = load_iris()
cross_val_score(clf, iris.data, iris.target, cv=10)

-2

Source: scikit-learn.org

Similar codes

1 vote309 views1 answer
Write data to using pickle
Python
2 votes335 views1 answer
Set http response content type django
Python Django
0 vote328 views1 answer
Python -m pip install --upgrade
Python
17 votes313 views4 answers
Python if else
Python
8 votes326 views6 answers
Python add to list
Python
0 vote349 views1 answer
Nn.softmax for pure sconvoultional classifier
Python
5 votes331 views4 answers
How to input comma separated int values in python
Python
0 vote353 views1 answer
Relative text size put text cv2
Python
1 vote309 views1 answer
Django queryset first element
Python
1 vote315 views1 answer
What does [::-1] mean in python
Python