Q 1. What is the process of subtracting the mean of each variable from its variable called?
A. Mean Normalization
B. Mean Subtraction
C. Subtraction
D. Scale Normalization
Answer: A
Q 2. What is the Learning Technique in which the right answer is given for each example in the data called?
A. Supervised Learning
B. Reinforcement Learning
C. Unsupervised Learning
D. Right Answer Learning
Answer: A
Q 3. ____________ measures how far the predictions are from the actual values.
A. Bias
B. Deviation
C. Variance
D. Difference
Answer: A
Q 4. I have a scenario where my hypothesis fits my training set well but fails to generalize for the test set. What is this scenario called?
A. Generalization Failure
B. Overfitting
C. None of the options
D. Underfitting
Answer: B
Q 5. How are the parameters updated during Gradient Descent process?
A. Not updated
B. One at a time
C. Sequentially
D. Simultaneously
Answer: D
Q 6. For ____________, the error is calculated by finding the sum of squared distance between actual and predicted values.
A. Clustering
B. None of the options
C. Regression
D. Classification
Answer: C
Q 7. The objective function for linear regression is also known as Cost Function.
A. True
B. False
Answer: A
Q 8. What measures the extent to which the predictions change between various realizations of the model?
A. Difference
B. Variance
C. Bias
D. Deviation
Answer: B
Q 9. ____________ is the line that separates y = 0 and y = 1 in a logistic function.
A. Seperator
B. None of the options
C. Decision Boundary
D. Divider
Answer: C
Q 10. For ____________, the error is determined by getting the proportion of values misclassified by the model.
A. Clustering
B. Regression
C. None of the options
D. Classification
Answer: D
Q 11. ____________ function is used as a mapping function for classification problems.
A. Convex
B. Linear
C. Concave
D. Sigmoid
Answer: D
Q 12. For an overfit data set, the cross-validation error will be much bigger than the training error.
A. True
B. False
Answer: A
Q 13. Problems, where discrete-valued outputs are predicted, are called?
A. Regression Problems
B. Real Valued Problems
C. Classification Problems
D. Greedy Problems
Answer: A
Q 14. For an underfit data set, the training and the cross-validation error will be high.
A. True
B. False
Answer: A
Q 15. What is the process of dividing each feature by its range called?
A. None of the options
B. Feature Scaling
C. Range Dividing
D. Feature Dividing
Answer: B
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