Clustering using Weka MOD FIVE

Jun 5th, 2015
Computer Science
Price: $15 USD

Question description

Here is a step-by-step guide to loading the file and clustering the data.

  1. Save the “credit-g.arff” file to someplace on your computer that you can quickly find it. This could be a folder in documents or on your desktop.
  2. Open Weka and go to the Explorer.
  3. Click “Open File” select the “credit-g.arff” file from wherever you saved it.
  4. At this point take note of the statistics of the selected attribute. Notice how Weka calculates the minimum, maximum, mean and standard deviation for your quick reference.
  5. Select the check marks next to all of the attributes to select them all.
  6. Next click the “Cluster” tab and then select “SimpleKMeans.
  7. Now under “Cluster mode” select “Classes to clusters evaluation” and press “Start.”

Your report will include a combination of screenshots and written work. Please ensure your work follows the CSU-Global Guide to Writing and APA Requirements for written work. In your report, please include:

  1. A screenshot of Weka Explore when the file “credit-g.arff” is successfully loaded;
  2. A snapshot of Weka Explore when the classification is completed
  3. After viewing the clustering results, please explain the confusion matrix, e.g. what are the True Positive (TP) number, the True Negative (TN) number, the False Positive (FP) number, and the False Negative (FN) number?
  4. Your answer to the following questions: What is the accuracy of the clustering result? (100 words)

Tutor Answer

(Top Tutor) Daniel C.
School: UT Austin

Studypool has helped 1,244,100 students

Review from our student for this Answer

Jun 10th, 2015
"Outstanding Job!!!!"
Ask your homework questions. Receive quality answers!

Type your question here (or upload an image)

1822 tutors are online

Brown University

1271 Tutors

California Institute of Technology

2131 Tutors

Carnegie Mellon University

982 Tutors

Columbia University

1256 Tutors

Dartmouth University

2113 Tutors

Emory University

2279 Tutors

Harvard University

599 Tutors

Massachusetts Institute of Technology

2319 Tutors

New York University

1645 Tutors

Notre Dam University

1911 Tutors

Oklahoma University

2122 Tutors

Pennsylvania State University

932 Tutors

Princeton University

1211 Tutors

Stanford University

983 Tutors

University of California

1282 Tutors

Oxford University

123 Tutors

Yale University

2325 Tutors