Machine Learning with Python -> Classification -> week 3

 Machine Learning with Python -> Classification -> week 3

1. Which of the following examples is/are a sample application of Logistic Regression? (select all that apply)

The probability that a person has a heart attack within a specified time period using the person's age and sex.

Customer's propensity to purchase a product or halt a subscription in marketing applications.

Estimating the blood pressure of a patient based on her symptoms and biographical data.

Likelihood of a homeowner defaulting on a mortgage.

2. Which one is TRUE about the kNN algorithm?

• kNN is a classification algorithm that takes a bunch of unlabelled points and uses them to learn how to label other points.
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• kNN algorithm can be used to estimate values for a continuous target.

Question 3

3. What is "information gain" in decision trees?

Question 3What is "information gain" in decision trees?

• It is the information that can decrease the level of certainty after splitting in each node.
• It is the entropy of a tree before split minus weighted entropy after split by an attribute.
• It is the amount of information disorder or the amount of randomness in each node.