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

0 vote166 views1 answer
Global variable not accessible withing thread
Python
4 votes157 views2 answers
Count characters in string python
Python
32 votes144 views1 answer
How to add a column to a pandas df
Python
2 votes149 views3 answers
Python format currency
Python
0 vote142 views1 answer
Sphinx, where to write the glossary of a sofware project
Python
0 vote164 views1 answer
How do i activate python on windows
Python
0 vote221 views1 answer
Initialise tuple in python
Python
4 votes167 views5 answers
How to take multiple integer input in python
Python
-1 vote181 views1 answer
Email validation using django
Python Django
104 votes162 views6 answers
How to rename columns in Pandas DataFrame
Python