51. What is the final resultant cluster size in Divisive algorithm, which is one of the hierarchical clustering approaches?
52. The adjusted multiple coefficient of determination accounts for
53. What is the sequence of the following tasks in a perceptron? Initialize weights of perceptron randomly Go to the next batch of dataset If the prediction does not match the output, change the weights For a sample input, compute an output
54. Which of the following selects only a subset of features belonging to a certain percentile
55. Suppose you are using a Linear SVM classifier with 2 class classification problem. Now you have been given the following data in which some points are circled red that are representing support vectors.If you remove the following any one red points from the data. Does the decision boundary will change?
56. PCA can be used for projecting and visualizing data in lower dimensions.
57. Which of the following is a common use of unsupervised clustering?
58. Which of the following is true about SVM?
1. Kernel function map low dimensional data to high dimensional space.
2. It is a similarity Function
1. Kernel function map low dimensional data to high dimensional space.
2. It is a similarity Function
59. How the entries in the full joint probability distribution can be calculated?
60. What is the standard approach to supervised learning?
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