1. High classification accuracy always indicated a good classifier.

2. For a classifier classifying between 5 classes, there always exists a classifier with accuracy greater than 0.18.

4. The most widely used metrics and tools to analyse performance of the classification model are:

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

6. Suppose you have trained a logistic regression classifier and it outputs a new example x with a probability prediction [0.2 , 0.8]. This means …

7. What is a loss function?

8. Suppose your model is overfitting. Which of the following is NOT a valid way to try and reduce the overfitting?

9. Sensitivity (Recall) in the confusion matrix is calculated as …

10.Accuracy is the best metric for classification problems.