Randonm forest python

Random forest python

from sklearn.ensemble import RandomForestClassifier

y = train_data["Survived"]

features = ["Pclass", "Sex", "SibSp", "Parch","Fare","Age"]
X = pd.get_dummies(train_data[features])
X_test = pd.get_dummies(test_data[features])

model = RandomForestClassifier(n_estimators=100, max_depth=5, random_state=1)
model.fit(X, y)
predictions = model.predict(X_test)

Source: grepper.com

Similar codes

0 vote320 views1 answer
Django raw without sql injection
Python Django
0 vote273 views1 answer
How to convert into grayscale opencv
Python
0 vote295 views1 answer
Python series sort
Python
2 votes365 views2 answers
Take two numbers as inout in single line in python
Python
0 vote296 views1 answer
Python call function x number of times
Python
0 vote261 views1 answer
Youtube upload python
Python
0 vote315 views1 answer
Python string: .find()
Python
0 vote295 views1 answer
Anagram Game
Python
2 votes320 views1 answer
How to return total elements in database django
Python Django
0 vote308 views1 answer
Expecting property name enclosed in double quotes json
Python