Question 9: Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several variables that may be ……

1. Numerical

2. Categorical

4. None of the 1 and 2 are correct

Ans : 3

Exp: Logistic regression is a model used for prediction of the probability of occurrence of an event. It makes use of several predictor variables that may be either numerical or categories.

Q10. Spam filtering of the emails is an example of

1. Supervised learning

2. Unsupervised learning

3. Clustering

4. 1 and 3 are correct

5. 2 and 3 are correct

Ans: 1 is correct

Exp: Clustering is an example of unsupervised learning. The clustering algorithm finds groups within the data without being told what to look for upfront. This contrasts with classification, an example of supervised machine learning, which is the process of determining to which class an observation belongs. A common application of classification is spam filtering. With spam filtering we use labeled data to train the classifier: e-mails marked as spam or ham.