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)