Supervised Learning

Question 1

Supervised learning constructs ____ models.

Answer 1

Predictive

Question 2

Learning algorithm in a predictive model discovers and models the relationships among the

Answer 2

Target variable and predictor (feature) variables

Question 3

X is also known as

Answer 3

Predictor variable, independent variable, attribute, feature, predictor

Question 4

Y is also known as

Answer 4

Target variable, dependent variable, response, outcome measurement

Question 5

Supervision in supervised learning refers to the fact that

Answer 5

The target values provide a supervisory role in indicating the task that it needs to learn to the learner

Question 6

In supervised learning, the learning algorithm attempts to optimize a function to find

Answer 6

The combination of feature values that result in a predicted value as close to the target output as possible

Question 7

Two main categories of supervised learning

Answer 7

Regression and classification

Question 8

Regression problem refers to

Answer 8

When the objective if supervised learning is to predict a numeric outcome (output falls on a continuum)

Question 9

Classification problem refers to when the objective of supervised learning is to

Answer 9

Predict a categorical outcome (usually binary or multinomial)

Question 10

Machine learning classification problems involve predicting the

Answer 10

Probability of a particular class

Question 11

The class with the highest predicted probability becomes the

Answer 11

Predicted class

Question 12

Classification problems are predicting a numeric output (probability) even though it works with

Answer 12

Categorical data