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

0 vote436 views1 answer
Python selenium teardown class
Python
1 vote378 views1 answer
Import pycocotools._mask as _mask error Expected 80, got 88
Python
0 vote349 views1 answer
Raspberry pi pygame play thru bluetooth device
Python
4 votes378 views2 answers
Matplotlib axes limits
Python
1 vote357 views1 answer
Read a function of excel in python
Python
50 votes344 views6 answers
Print random string from list python
Python
0 vote343 views1 answer
Pandas cartesian product
Python
0 vote342 views1 answer
Tqdm every new line
Python
9 votes352 views3 answers
2d array python3
Python
0 vote303 views1 answer
Nested dictionary to dataframe
Python