Sklearn random forest regressor

from sklearn.ensemble import RandomForestRegressor


clf = RandomForestRegressor(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

How to use random tree in python

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)

Source: stackabuse.com

Sklearn random forest

from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_classification


X, y = make_classification(n_samples=1000, n_features=4,
                            n_informative=2, n_redundant=0,
                            random_state=0, shuffle=False)
clf = RandomForestClassifier(max_depth=2, random_state=0)

clf.fit(X, y)

print(clf.predict([[0, 0, 0, 0]]))

Similar codes

1 vote309 views1 answer
Add a button on tkinter
Python
4 votes313 views1 answer
How to cnovert a decimal to fraction python
Python
0 vote313 views1 answer
Numpy.where() for substring
Python
0 vote333 views1 answer
Keras backend matrix multiplication
Python
1 vote334 views3 answers
Python nested list
Python
5 votes307 views2 answers
How to make a calcukatir un python
Python
0 vote331 views1 answer
Black code formatter
Python
1 vote320 views1 answer
Ursina python
Python
-2 votes371 views1 answer
3d game in python
Python
0 vote380 views1 answer
Bootstrap 5 in Django
Python Django