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 vote153 views1 answer
Gogle query python simple
Python
25 votes98 views4 answers
Python pyautogui
Python
17 votes146 views3 answers
How to split a string in python with multiple delimiters
Python
0 vote135 views1 answer
Pandas index between time
Python
2 votes150 views3 answers
Python download for ubuntu 20.04
Python
2 votes129 views1 answer
Create Pandas Data Frame in Python
Python
18 votes148 views2 answers
Lists to dictionary python
Python
3 votes149 views3 answers
3d plots in python
Python
0 vote137 views2 answers
Python program that takes a text file as input and returns the number of words of a given text file
Python
139 votes149 views6 answers
Anaconda create new environment
Python