Top 350+ Solved Machine Learning (ML) MCQ Questions Answer
Q. Suppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?
a. since the there is a relationship means our model is not good
b. since the there is a relationship means our model is good
c. cant say
d. none of these
Q. Like the probabilistic view, the ________ view allows us to associate a probability of membership with each classification.
a. exampler
b. deductive
c. classical
d. inductive
Q. Database query is used to uncover this type of knowledge.
a. deep
b. hidden
c. shallow
d. multidimensional
Q. A person trained to interact with a human expert in order to capture their knowledge.
a. knowledge programmer
b. knowledge developer r
c. knowledge engineer
d. knowledge extractor
Q. Some telecommunication company wants to segment their customers into distinct groups ,this is an example of
a. supervised learning
b. reinforcement learning
c. unsupervised learning
d. data extraction
Q. In the example of predicting number of babies based on stork's population ,Number of babies is
a. outcome
b. feature
c. observation
d. attribute
Q. Which learning Requires Self Assessment to identify patterns within data?
a. unsupervised learning
b. supervised learning
c. semisupervised learning
d. reinforced learning
Q. Select the correct answers for following statements.1. Filter methods are much faster compared to wrapper methods.2. Wrapper methods use statistical methods for evaluation of a subset of features while Filter methods use cross validation.
a. both are true
b. 1 is true and 2 is false
c. both are false
d. 1 is false and 2 is true
Q. The "curse of dimensionality" referes
a. all the problems that arise when working with data in the higher dimensions, that did not exist in the lower dimensions.
b. all the problems that arise when working with data in the lower dimensions, that did not exist in the higher dimensions.
c. all the problems that arise when working with data in the lower dimensions, that did not exist in the lower dimensions.
d. all the problems that arise when working with data in the higher dimensions, that did not exist in the higher dimensions.
Q. In simple term, machine learning is
a. training based on historical data
b. prediction to answer a query
c. both a and b??
d. automization of complex tasks
Q. If machine learning model output doesnot involves target variable then that model is called as
a. descriptive model
b. predictive model
c. reinforcement learning
d. all of the above
Q. Following are the descriptive models
a. clustering
b. classification
c. association rule
d. both a and c
Q. Different learning methods does not include?
a. memorization
b. analogy
c. deduction
d. introduction