Chapter 11: Predictive Machine Learning

Question 1

What is another name for supervised data models?

Answer 1

Machine learning

Question 2

What are predictive models used for?

Answer 2

Estimation and classification

Question 3

Estimation models attempt to approximate or otherwise determine outcomes based on multiple _______ and known ________.

Answer 3

parameters, relationships

Question 4

What are estimation models used for?

Answer 4

They are used to predict a specific value of numeric dependent or target variable.

Question 5

What is the equation for a linear equation?

Answer 5

y = a + bX

Question 6

What is the distance between a predicted value and the observed value called?

Answer 6

residual or error

Question 7

What is the equation for Sum of Squares Errors (SSE)?

Answer 7

Question 8

How can you determine the Root Sum of Square Errors?

Answer 8

Take the sqaure root of the average sum of square errors

Question 9

In the abscence of regression what would be the best prediction method?

Question 10

What is the sum of sqaured errors without regression called?

Question 11

What is the name of the following equation?

SST = SSR + SSE

Question 12

To make predictions with multiple independent variables you should use what model?

Answer 12

Multiple linear regression

Question 13

True or False: In a multiple linear regression all variables must be numeric in value.

Question 14

True or False: Non-numeric data cannot be converted to numeric values

Question 15

What is used to evalute the performace of the classification model?

Question 16

True postives are called _________

False negatives are called _________

False postives are called _________

True negatives are called _________

Question 17

How do you make a dependent variable into a categorical one?

Question 18

Naive Bayes classifer focuses on what techniuque?

Question 19

What is K-nearst neighbors based upon?

Question 20

What are the 2 types of decision trees?

Question 21

What is the simplest classification tree?

Answer 21

True/False or Yes/No

Question 22

(ANN) Artificial nueral networks are adept at what kind of function?

Question 23

Genetic algorithms use the process of _______, _______, and _______ to find solutions to complex problems.

Question 24

Filtering spam is an example of what type of machine learning?

Question 25

Predictive data models need to be _______, _______, _______ and run in real-workd scenarios.