Data Mining Week 5 Nptel Assignment Answers

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Data Mining Week 5 Nptel Assignment Answers (Jan-Apr 2025)

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1. Support vector machine may be termed as:
   A. Maximum apriori classifier
   B. Maximum margin classifier
   C. Minimum apriori classifier
   D. Minimum margin classifier
   View Answer

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2. In a hard margin support vector machine:
   A. No training instances lie inside the margin
   B. All the training instances lie inside the margin
   C. Only a few training instances lie inside the margin
   D. None of the above
   View Answer

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3. If the hyperplane WTX + b = 0 correctly classifies all the training points (Xi, yi), where yi = {+1, -1}, then:
   A. ||W-1|| = 2
   B. X = 1
   C. WTXi + b ≥ 0 for all i
   D. yi(WTXi + b) ≥ 0 for all i
   View Answer

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4. The constraint in the primal optimization problem solved to obtain the hard margin optimal separating hyperplane is:
   A. yi(WTXi + b) ≥ 1 for all i
   B. yi(WTXi + b) ≤ 1 for all i
   C. (WTXi + b) ≥ 1 for all i
   D. (WTXi + b) ≤ 1 for all i
   View Answer

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5. The constraint in the dual optimization problem solved to obtain the hard margin optimal separating hyperplane is:
   A. yi(WTXi + b) ≥ 1 for all i
   B. yi(WTXi + b) ≤ 1 for all i
   C. αi ≥ 0, for all i, αi are the Lagrange multipliers
   D. αi ≤ 0, for all i, αi are the Lagrange multipliers
   View Answer

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6. In a hard margin SVM, support vectors lie –
   A. inside the margin
   B. on the margin
   C. outside the margin
   D. can be either inside or outside the margin
   View Answer

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7. Hessian matrix considered in SVM design has elements of the form:
   A. Xi . Xj
   B. yi – yj
   C. yiyj(Xi – Xj)T(Xi – Xj)
   D. yiyjXi . Xj
   View Answer

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8. The dual optimization problem in SVM design is usually solved using:
   A. Genetic programming
   B. Neural programming
   C. Dynamic programming
   D. Quadratic programming
   View Answer

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9. The generalization constant C is used to tune the:
   A. test error only
   B. training error only
   C. relative weightage to training and test error
   D. none of the above
   View Answer

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10. In a hard margin SVM WTX + b = 0, suppose Xj’s are the support vectors and αj’s the corresponding Lagrange multipliers, then which of the following statements are correct:
    A. W = Σ αj yj Xj
    B. Σ αj yj = 0
    C. Either A or B
    D. Both A and B
    View Answer

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Data Mining Week 5 Nptel Assignment Answers

For answers to others Nptel courses, please refer to this link: NPTEL Assignment