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

0 vote323 views1 answer
How to add to beginning of linked list python
Python
1 vote298 views1 answer
Split string form url last slash
Python
1 vote308 views1 answer
Python delete text in text file
Python
0 vote283 views1 answer
Django file field from base64
Python
14 votes325 views6 answers
Python print variable
Python
0 vote323 views1 answer
Python ip address increment
Python
0 vote298 views1 answer
Dict from group pandas
Python
3 votes271 views1 answer
Label size matplotlib
Python
2 votes305 views2 answers
Python isdigit negative
Python
2 votes316 views1 answer
Add a list in python
Python