Scikit learn decision tree

Scikit learn decision tree12

from sklearn.datasets import load_iris
from sklearn import tree
iris = load_iris()
X, y = iris.data, iris.target
clf = tree.DecisionTreeClassifier()
clf = clf.fit(X, y)

Source: scikit-learn.org

Skcikit learn decision 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 decision 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 decision 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

Similar codes

0 vote159 views1 answer
Python txt to parquet
Python
0 vote171 views1 answer
Date component
Python
13 votes157 views3 answers
Permutation python
Python
0 vote199 views1 answer
Django queryset to instance
Python Django
0 vote149 views1 answer
Passport ocr python
Python
1 vote230 views1 answer
Delete a record by id in flask sqlalchemy
Python Flask
2 votes170 views1 answer
Title() in python
Python
0 vote247 views1 answer
Distinct rows in this DataFrame
Python
0 vote164 views2 answers
Python2 to python3 converter
Python
0 vote186 views2 answers
Grid list python
Python