B. a dataset has 1000 records and 50 variables with 5% of the

 

B.   A dataset has 1000 records and 50 variables with 5% of the values missing, spread randomly throughout the records and variables. An analysis decides to remove records that have missing values. About how many records would you expect would be removed? (20 points)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

C. Given a database table containing weather data as follows:

Outlook

Temperature

Humidity

Windy

Class: Play

Sunny

Hot

High

False

No

Sunny

Hot

High

True

No

Overcast

Hot

High

False

Yes

Rainy

Mild

High

False

Yes

Rainy

Cool

Normal

False

Yes

Rainy

Cool

Normal

True

No

Overcast

Cool

Normal

True

Yes

Sunny

Mild

High

False

No

Sunny

Cool

Normal

False

Yes

Rainy

Mild

Normal

False

Yes

Sunny

Mild

Normal

True

Yes

Overcast

Mild

High

True

Yes

Overcast

Hot

Normal

False

Yes

Rainy

Mild

High

True

No

 

 

Where  Outlook, Temperature, Humidity, and Windy are the input variables (predictors), and Play is the output variable (response).

a.    Compute the prior probability

P(PLAY=’Yes’) =

      P(PLAY=’No’) =

b.   Compute the conditional probability

P(Outlook=’Sunny’|PLAY=’Yes’) =

      P(Outlook=’Sunny’|PLAY=’No’) =

 

      P(Temperature = ‘Mild’|PLAY=’Yes’) =

      P(Temperature = ‘Mild’|PLAY=’No’) =

     

      P(Humidity = ‘High’| PLAY=’Yes’) =

      P(Humidity = ‘High’| PLAY=’No’) =

 

      P(Windy = ‘False’| PLAY=’Yes’) =

      P(Windy = ‘False’| PLAY=’No’)=

 

c.    Using naïve Bayes classification method to classify the following unknown record and to indicate whether to play or not.

 

(Outlook = ‘Sunny’,  Temperature = ‘Mild’ , Humidity = ‘High’ ,  Windy = ‘False’)

(20 points)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

D. Association Rule Mining: (20 points)

Given a transaction database for mining association rule as follows:

Database D

TID

Items

100

A C D

200

B C E

300

A B C E

400

B E

 

      Please useApriorialgorithm to mine association rules with minimum support count = 2.

      (Please show the derivation process step by step with candidate itemsets.)

 

 

 

 

Place your order
(550 words)

Approximate price: $22

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more