/  Classification Model-quiz-1

This Quiz contains totally 10 Questions each carry 1 point for you.

1. The most widely used metrics and tools to assess a classification model are:

Confusion matrix
cost-sensitive accuracy
Area under the ROC curve
All of the above

Correct!

Wrong!

2. How do you handle missing or corrupted data in a dataset?

Drop missing rows or columns
Replace missing values with mean/median/mode
Assign a unique category to missing values
All of the above

Correct!

Wrong!

3. When performing regression or classification, which of the following is the correct way to preprocess the data?

Normalize the data → PCA → training
PCA → normalize PCA output → training
Normalize the data → PCA → normalize PCA output → training
None of the above

Correct!

Wrong!

4. Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

Decision Tree
Regression
Classification
Random Forest

Correct!

Wrong!

5. Which of the following is a disadvantage of decision trees?

Factor analysis
Decision trees are robust to outliers
Decision trees are prone to be overfit
None of the above

Correct!

Wrong!

6. To find the minimum or the maximum of a function, we set the gradient to zero because:

The value of the gradient at extrema of a function is always zero
Depends on the type of problem
Both 1 and 2
None of the above

Correct!

Wrong!

7. What is the purpose of performing cross-validation?

To assess the predictive performance of the models
To judge how the trained model performs outside the sample on test data
Both 1 and 2
None of the above

Correct!

Wrong!

8. Which of the following is a good test dataset characteristic?

Large enough to yield meaningful results
representative of the dataset as a whole
Both 1 and 2
None of the above

Correct!

Wrong!

9. Why is second order differencing in time series needed?

To remove stationarity
To find the maxima or minima at the local point
Both 1 and 2
None of the above

Correct!

Wrong!

10. Which of the folllowing is an example of feature extraction?

Constructing bag of words vector from an email
Applying PCA projects to a large high-dimensional data
Removing stopwords in a sentence
All of the above

Correct!

Wrong!

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Classification Models – Quiz1

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