Machine Learning MCQ Multiple Choice Questions Answers - Page 2 for Practice
31. The correlation between the number of years an employee has worked for a company and the salary of the employee is 0.75. What can be said about employee salary and years worked?
Correct Answer is: Individuals that have worked for the company the longest have higher salaries.
32. The correlation coefficient for two real-valued attributes is 0.85. What does this value tell you?
Correct Answer is: As the value of one attribute decreases the value of the second attribute increases.
33. The leaf nodes of a model tree are
Correct Answer is: linear regression equations.
34. The multiple coefficient of determination is computed by
Correct Answer is: dividing SST by SSE
35. The process of forming general concept definitions from examples of concepts to be learned.
Correct Answer is: induction
36. The standard error is defined as the square root of this computation.
Correct Answer is: The sample variance divided by the total number of sample instances.
37. This clustering algorithm initially assumes that each data instance represents a single cluster.
Correct Answer is: K-Means clustering
38. This clustering algorithm merges and splits nodes to help modify nonoptimal partitions.
Correct Answer is: K-Means clustering
39. This supervised learning technique can process both numeric and categorical input attributes.
Correct Answer is: linear regression
40. This technique associates a conditional probability value with each data instance.
Correct Answer is: logistic regression
41. This unsupervised clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration.
Correct Answer is: K-Means clustering
42. When doing least-squares regression with regularisation (assuming that the optimisation can be done exactly), increasing the value of the regularisation parameter (Lambda)
Correct Answer is: will never decrease the training error.
43. Which is not true about Gradient of a continuous and differentiable function
Correct Answer is: is non-zero at a maximum
44. Which of the following is a common use of unsupervised clustering?
Correct Answer is: detect outliers
45. Which of the following is not an advantage of Grid search
Correct Answer is: It runs reasonably fast for multiple linear regression.
46. Which of the following points would Bayesians and frequentists disagree on?
Correct Answer is: The use of prior distributions on the parameters in a probabilistic model.
47. Which of the following sentence is FALSE regarding regression?
Correct Answer is: It discovers causal relationships.
48. Which statement about outliers is true?
Correct Answer is: The nature of the problem determines how outliers are used.
49. Which statement is true about neural network and linear regression models?
Correct Answer is: Both models require input attributes to be numeric.
50. Which statement is true about prediction problems?
Correct Answer is: The resultant model is designed to classify current behavior.
51. With Bayes classifier, missing data items are
Correct Answer is: treated as unequal compares.
52. You observe the following while fitting a linear regression to the data: As you increase the amount of training data, the test error decreases and the training error increases. The train error is quite low (almost what you expect it to), while the test error is much higher than the train error. What do you think is the main reason behind this behavior. Choose the most probable option.
Correct Answer is: High variance
53. A multiple regression model has
Correct Answer is: more than one dependent variable
