/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 vote242 views2 answers
Panda count how many values are less than n in a column
Python
2 votes240 views2 answers
Python check string for negative number
Python
5 votes255 views3 answers
Sys module in python
Python
0 vote229 views2 answers
Django create view filter options
Python Django
0 vote131 views1 answer
Pip install --upgrade pip no module named pip
Python
0 vote194 views1 answer
Python run async function without await
Python
0 vote234 views1 answer
Django strptime
Python
0 vote179 views1 answer
Import sqlite to mysql django
Python
0 vote190 views1 answer
Pyautogui color
Python
-1 vote221 views1 answer
Email validation using django
Python Django