/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

0 vote283 views1 answer
Verilog import module
Python
27 votes303 views4 answers
How to do a square root in python
Python
0 vote280 views1 answer
Plynomial regression implementation python
Python
0 vote292 views1 answer
Load and image and predict tensorflow
Python
0 vote299 views1 answer
Use mark down with flask
Python
0 vote312 views1 answer
Sns regplot make the line and confidence interval thicker
Python
22 votes314 views4 answers
Python get date next week
Python
1 vote282 views1 answer
Vector in python
Python
11 votes294 views4 answers
Python create environment variable
Python
0 vote302 views1 answer
Pandas check if column is sorted
Python