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

5 votes139 views4 answers
Dropping unnamed columns in pandas
Python
0 vote127 views1 answer
Or en python
Python
1 vote133 views1 answer
Fibonacci series using dynamic programmig approach
Python
0 vote141 views1 answer
Get all environment variables python
Python
1 vote139 views1 answer
Flask set cookie
Python
1 vote137 views1 answer
Pygame how to change a pictures hue
Python
8 votes131 views2 answers
How to check whether input is string or not
Python
4 votes150 views2 answers
Make a nested list flat python
Python
1 vote116 views1 answer
Split string every nth character
Python
3 votes134 views1 answer
Python how to find gcd
Python