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 vote190 views1 answer
Django auto increment field
Python Django
0 vote268 views1 answer
Image_file = models.ImageField(upload_to='images') image_url = models.URLField()
Python
8 votes248 views4 answers
How to change icon in pygame
Python
0 vote243 views1 answer
Holding a function to the code in python
Python
0 vote286 views2 answers
The module in NAME could not be imported: django.contrhtmlib.auth.password_validation.UserAttributeSimilarityValidator. Check your AUTH_PASSWORD_VALIDATORS setting.
Python Django
0 vote249 views1 answer
Pymol load coords
Python
0 vote248 views1 answer
Feature importance naive bayes python
Python
0 vote256 views1 answer
Combine int and object columns into one
Python
0 vote242 views1 answer
From matrix to array python
Python
0 vote238 views1 answer
Break py
Python