Skitlearn decision tree

Decision tree

from sklearn.datasets import load_iris
>>> from sklearn import tree
>>> X, y = load_iris(return_X_y=True)
>>> clf = tree.DecisionTreeClassifier()
>>> clf = clf.fit(X, y)

Source: scikit-learn.org

Skitlearn decision 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)

-2

Source: scikit-learn.org

Similar codes

3 votes160 views2 answers
How to plotting bar on matplotlib
Python
-1 vote170 views2 answers
Httplib python
Python
0 vote155 views1 answer
Pandas print tabulate no index
Python
0 vote197 views1 answer
ValueError: columns overlap but no suffix specified:
Python
1 vote192 views1 answer
How to access for loop counter of outer loop
Python
0 vote160 views1 answer
Python NameError: name 'io' is not defined
Python
0 vote165 views1 answer
How to add base map in pyqgis
Python
0 vote110 views2 answers
Nested renamer is not supported pandas
Python
0 vote176 views1 answer
How to config django templates with pathlib
Python
0 vote147 views1 answer
Python if condition assignment in one line
Python