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

16 votes158 views6 answers
Python print function
Python
21 votes178 views4 answers
Convert radians to degrees python
Python
9 votes188 views4 answers
Fetch member by id discord.py
Python
0 vote174 views1 answer
Somma array python
Python
-1 vote196 views3 answers
Prime numbers upto n in python
Python
0 vote178 views1 answer
Build mac app from python script
Python
5 votes190 views2 answers
Get pyhton file path python
Python
0 vote152 views5 answers
Python calculator code copy and paste
Python
0 vote187 views1 answer
Defaultdict python inport
Python
-1 vote193 views9 answers
Django for Beginners
Python Django