Machine Learning - Study Mode
[#276] If machine learning model output doesnot involves target variable then that model is called as
Correct Answer
(A) descriptive model
(E) descriptive model
Explanation
Solution: If a machine learning model's output does not involve the target variable, then that model is called: Option A: Descriptive Model A descriptive model is primarily focused on describing the relationships and patterns in the data. It may not necessarily involve predicting the target variable. Therefore, Option A is a valid description. Option B: Predictive Model A predictive model is designed to predict or estimate the target variable based on input features and data patterns. If a machine learning model's output does not involve the target variable, it is not a predictive model. So, Option B is not the correct answer. Option C: Reinforcement Learning Reinforcement learning is a specific type of machine learning where agents learn to make decisions to maximize rewards over time. While it may involve target variables in the form of rewards or goals, it does not necessarily imply predicting the target variable. Therefore, Option C is not the correct answer. Option D: All of the Above Since at least one of the options (Option A) represents a model that does not involve the target variable, Option D is not the correct answer. In summary, a machine learning model that does not involve the target variable is called a descriptive model, making Option A the correct choice.
[#277] Which are two techniques of Machine Learning ?
Correct Answer
(A) Genetic Programming and Inductive Learning
(E) Genetic Programming and Inductive Learning
Explanation
Solution: Which are two techniques of Machine Learning? Option A: Genetic Programming and Inductive Learning Genetic programming and inductive learning are indeed two techniques of machine learning. Genetic programming involves evolving computer programs to solve problems, while inductive learning is about inferring rules from data. So, Option A is a correct description of machine learning techniques. Option B: Speech Recognition and Regression Speech recognition and regression are specific applications or tasks within machine learning but do not represent machine learning techniques themselves. They are use cases for applying machine learning techniques. Therefore, Option B is not the correct answer. Option C: Both A and B While Option A correctly lists two machine learning techniques, Option B includes specific tasks or applications rather than techniques. Therefore, Option C is not the correct answer. Option D: None of the Mentioned Since at least one of the options (Option A) represents two machine learning techniques, Option D is not the correct answer. In summary, Genetic Programming and Inductive Learning (Option A) are two examples of machine learning techniques.
[#278] Multivariate split is where the partitioning of tuples is based on a combination of attributes rather than on a single attribute.
Correct Answer
(A) TRUE
(C) TRUE
[#279] MLE estimates are often undesirable because
Correct Answer
(B) they have high variance
(F) they have high variance
[#280] A database has 5 transactions. Of these, 4 transactions include milk and bread. Further, of the given 4 transactions, 2 transactions include cheese. Find the support percentage for the following association rule "if milk and bread are purchased, then cheese is also purchased".
Correct Answer
(D) 0.42
(H) 0.42