Question 23
It decreases the variance among individual trees.
It increases the variance among individual trees.
It reduces the number of samples used for training each tree.
It reduces overfitting by restricting tree depth.
MLP End Term 22 Dec 2024 — Question 23
Show answer
Correct answer
It increases the variance among individual trees.
Question 23 of 37 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 22 Dec 2024, in the September 2024 term (IIT M IMPROVEMENT FN EXAM QDD1 22 Dec 2024). It carries 2 marks.
More questions from this paper
- Dataset: Employee Details | Name | Age | Department | Salary | Joining_Year | Performance_Score | |---|---|---|---|---|…
- Dataset: Employee Details | Name | Age | Department | Salary | Joining_Year | Performance_Score | |---|---|---|---|---|…
- Dataset: Employee Details | Name | Age | Department | Salary | Joining_Year | Performance_Score | |---|---|---|---|---|…
- Dataset: Employee Details | Name | Age | Department | Salary | Joining_Year | Performance_Score | |---|---|---|---|---|…
- Which of the following code snippets will plot the learning curve for training over 100 epochs? Assume that all necessa…
- Consider the following initialization of a DecisionTreeClassifier: If the training data consists of 100 samples and 10 …
- Consider the following code: Which of the following is true in this case?
- Consider the following code: What will be the output of the above code?
- Figure question
- The following code produces an output of 0.9125 on the training data. What is the expected effect on the training accur…
- Figure question
- Figure question
- You're working on a binary classification task using the ‘MLPClassifier’ to predict whether a customer will make a purc…
- What will be the output of the following code?
- What will be the output of the following code?
- You have loaded a dataset with 500 samples and 50 features into a Pandas DataFrame. Some samples have missing values fo…
- Figure question
- Figure question
- What will be the output of the code?
- Consider the following code snippet: What does the learning_rate='constant' parameter in the SGDRegressor() function co…
- Which of the following is NOT a hyperparameter in machine learning?
- Given below code to load a huge file name as filename.csv and this file is not loading at once in the system which para…
- Consider the following code: Which of the following sets of training data can not be printed during the iteration of St…
- What happens when the following code is executed?
- Figure question
- Consider the following code snippet using scikit-learn: Assume all the necessary imports and X, y to be the training da…
- Figure question
- Figure question
- What parameters of the k-means clustering algorithm should be tuned to optimize the model performance?
- Consider the following options for evaluating the optimal number of clusters in k-means. Which approaches are valid?
- Which of the following statements are correct about the Silhouette Coefficient?
- Figure question
- Given a dataset with shape 4 \times 3 (4 samples and 3 features), apply the VarianceThreshold method with a threshold o…
- What will be the output of the following code snippet?
- What will be the output of the following code?
- Consider the following code and its output: Keep the following symbols in mind: >>>: Represents input code # : Represen…