Scikit learn decistion tree

from sklearn import tree
X = [[0, 0], [1, 1]]
Y = [0, 1]
clf = tree.DecisionTreeClassifier()
clf = clf.fit(X, Y)

Source: scikit-learn.org

Scikit learn decistion tree

>>> 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)
...                             
...
array([ 1.     ,  0.93...,  0.86...,  0.93...,  0.93...,
        0.93...,  0.93...,  1.     ,  0.93...,  1.      ])

Source: scikit-learn.org

Similar codes

1 vote308 views1 answer
Convert negative to zero in list in python
Python
39 votes303 views2 answers
String to list of characters python
Python
0 vote337 views1 answer
How to replace the file if the file already exist in google drive api in python
Python
91 votes312 views4 answers
String remove last 3 characters python
Python
0 vote314 views1 answer
How to show Screen keyboard ubuntu with python
Python
0 vote328 views1 answer
Pandas iat 0
Python
0 vote297 views1 answer
Df.head() in python
Python
0 vote354 views1 answer
Get token from request django
Python Django
0 vote304 views1 answer
EXCEL , EXTRAER DELIMITADOR
Python
0 vote321 views1 answer
Numpy multidimensional indexing
Python