Random Forests

Question 1

What is the syntax to import the scikit-learn library function RandomForestRegressor

Answer 1

from sklearn.ensemble import RandomForestRegressor

Question 2

What is random_state used for?

Answer 2

random_state ensures that splits that you generate are reproducible and deterministic.

It is a seed to the random number generator that ensures the random numbers are generated in the same order.

Question 3

What is the fit() method used for?

Answer 3

Fitting is equal to training the data to the model. Then, after it is trained, the model can be used to make predictions, usually with a .predict() method call.

Syntax:
my_model.fit(features, target)

Question 4

What is the predict() method used for?

Answer 4

Python predict() function enables us to predict the labels of the data values on the basis of the trained model.

Syntax:
my_model.predict(features)

The predict() function accepts only a single argument which is usually the data to be tested.