21. The selling price of a house depends on many factors. For example, it depends on the number of bedrooms, number of kitchen, number of bathrooms, the year the house was built, and the square footage of the lot. Given these factors, predicting the selling price of the house is an example of . . . . . . . . task.
22. A measure of goodness of fit for the estimated regression equation is the
23. A good clustering method will produce high quality clusters with
24. In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C
25. . . . . . . . . performs a PCA with non-linearly separable data sets.
26. True or False: Dropout is computationally expensive technique w.r.t. bagging
27. High entropy means that the partitions in classification are
28. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
29. . . . . . . . . showed better performance than other approaches, even without a context-based model
30. Gaussian distribution when plotted, gives a bell shaped curve which is symmetric about the . . . . . . . . of the feature values.
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