Question

Giving genetic (DNA) data from a person, predict the odds of him/her developing a given type of cancer over the next 10 years. This is which type of machine learning problem?

	A.	Regression
	B.	Classification
	C.	Clustering
	D.	Natural language processing
	E.	Computer vision

Which of the following is the top reason of IS threat or data leakage since 2002?

	A.	Internet vulnerabilities
	B.	Wireless security weakness
	C.	Software problems
	D.	Hardware problems
	E.	Internal employees

If we have some historical data about some patients in several health clinics, and we have gathered some personal data such as age, gender, weight, heart rate, blood pressure, etc. We also know which patients are diabetic and which are not. We would like to use this data set to train a machine learning algorithm and apply it to predict whether new patients are diabetic or not based on the above information that can easily be collected. This is a _________ question.

	A.	Regression
	B.	Clustering
	C.	Classification
	D.	Unsupervised learning
	E.	Neural network

In supervised learning, we give the learning algorithm a data set in which the "right answers" were given. This data set is divided into two parts, of which the one used for learning to identify the pattern or rules is called __________.

	A.	Testing set
	B.	Evaluating set
	C.	Predictive set
	D.	Exercise set
	E.	Training set

Answer 1

Answer Q1:

B. Classification

Explanation - Classification algorithms attempt to estimate the mapping function (f) from the input variables (x) to discrete or categorical output variables (y). Here, there is discrete outputs available as there are two possibilities, the patient will get cancer(say 1) or might not get it(say 0).

Answer Q2:

A. Internet vulnerabilitites.

Explanation - Due to Internet vulnerabilities, users are exploited by a cyber attack to gain unauthorized access and perform unauthorized actions on computer.This is one of the major reasons for data breach.

Answer Q3:

C. Classification

Explanation - Since this has two outputs, whether patient has diabetes or not and which are discrete outputs, therfore, it is categorised under classification.

Answer Q4:

E. Training set

Explanation - In supervised learning , training dataset is used to train the model for performing various actions.

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