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

Decision trees

Training Data Set Accuracy:  0.9610705596107056
Training Data F1 Score  0.972027972027972
Validation Mean F1 Score:  0.6348494236272646
Validation Mean Accuracy:  0.7030561269468117

-2

Similar codes

1 vote316 views1 answer
Example of Single-line comment in Python
Python
6 votes340 views2 answers
Docker flask
Python
1 vote302 views1 answer
Python app to deb
Python
1 vote327 views2 answers
Four digit representation python
Python
0 vote274 views1 answer
Tkinter delete toplevel
Python
0 vote268 views1 answer
To excel datasheet python
Python
0 vote283 views1 answer
Python string caps lock
Python
13 votes288 views4 answers
If list item in string python
Python
0 vote262 views1 answer
Postgres select if data exists
Python
4 votes298 views3 answers
Dice simulator python
Python