/Python/Decision tree classifier sklearn

Decision tree classifier sklearn

Decisiontreeclassifier sklearn

from sklearn.tree import DecisionTreeClassifier

Skit learn decision

from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import export_text
iris = load_iris()
decision_tree = DecisionTreeClassifier(random_state=0, max_depth=2)
decision_tree = decision_tree.fit(iris.data, iris.target)
r = export_text(decision_tree, feature_names=iris['feature_names'])
print(r)

Source: scikit-learn.org

Skit learn decision

clf.predict([[2., 2.]])

Source: scikit-learn.org

Decision tree classifier sklearn

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

0 vote174 views1 answer
Plt.plot(x, softmax(scores).T, linewidth=2)
Python
8 votes177 views2 answers
How to clear a list in python
Python
0 vote175 views1 answer
How to add a command to button in a loop tkinter python
Python
5 votes160 views1 answer
Show full pd dataframe
Python
0 vote181 views1 answer
How to increase size of graph in jupyter
Python
0 vote164 views1 answer
Python turn list of strings into list of doubles
Python
0 vote186 views2 answers
Python capture stdout
Python
0 vote166 views2 answers
Pip install chatterbot
Python
0 vote178 views1 answer
Python: dunder init method
Python
1 vote169 views1 answer
How to print x in python
Python