Python Coding Challenge - Question with Answer (ID -221225)

 

Explanation

1️⃣ Import the model

from sklearn.ensemble import RandomForestClassifier

This imports the Random Forest classification algorithm from scikit-learn.

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2️⃣ Create the model object

model = RandomForestClassifier()

Here, you create a Random Forest model without passing any parameters, so it uses default values.

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3️⃣ Check number of trees

print(model.n_estimators)

• n_estimators = number of decision trees in the forest.

• By default:

n_estimators = 100

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✅ Output

100

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 Key Concept

• Random Forest is an ensemble learning algorithm

• It combines predictions from multiple decision trees

• More trees → usually better accuracy (but slower training)

900 Days Python Coding Challenges with Explanation