4141-Final-sol
2 Pages

4141-Final-sol

Course Number: BUS 4141, Fall 2009

College/University: LSU

Word Count: 319

Rating:

Document Preview

ISDS 4141 INTRODUCTION TO DATA MINING Final Exam Problem 1. (1) True ( X ); False ( ) (2) True ( ); False ( X ) (3) True ( X ); False ( ) (4) True ( X ); False ( ) (5) True ( X ); False ( ) (6) True ( ); False ( X ) (7) True ( ); False ( X ) (8) True ( X ); False ( ) (9) True ( ); False ( X ) (10) True ( X ); False ( ) (11) True ( ); False ( X )(12) True ( ); False ( X ) (13) True ( X ); False ( )(14) True ( X );...

Unformatted Document Excerpt
Coursehero >> Louisiana >> LSU >> BUS 4141

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

4141 ISDS INTRODUCTION TO DATA MINING Final Exam Problem 1. (1) True ( X ); False ( ) (2) True ( ); False ( X ) (3) True ( X ); False ( ) (4) True ( X ); False ( ) (5) True ( X ); False ( ) (6) True ( ); False ( X ) (7) True ( ); False ( X ) (8) True ( X ); False ( ) (9) True ( ); False ( X ) (10) True ( X ); False ( ) (11) True ( ); False ( X )(12) True ( ); False ( X ) (13) True ( X ); False ( )(14) True ( X ); False ( ) (15) True ( ); False ( X ) Problem 2. (a) P[Peanut Butter, Bread] = 10/100 = 0.1 (b) P[Bread | Peanut Butter] = 10/40 = 0.25 (c) P[Peanut Butter, Bread ] / (P[Peanut Butter ] P[Bread ]) = 0.1/(0.2*0.4) = 1.25 (d) (10*50 10*30)^2 / (20 * 80 * 60 * 40) * 100 =1.0417 Problem 3. (a) y-bar = b0 + b1 * x-bar x-bar = (y-bar b0) / b1 = 600 (b) E[Y-hat] = -395 + 1.825 * 700 = $882.5 (c) 1- SSE/(n-k-1) / SSTO/(n-1) = 0.7926 (d) Alternatives H0: 1 = 0 H1: 1 0 Decision rules If |t*| t8, 0.025 ( = 2.306 ), conclude Ho Test statistic t* = 5.94969 Conclusion Conclude H1. Problem 4. (a) = exp(bx)/[1+ exp(bx)] where bx = -9.6 + 0.1*X1 + 0.8*X2 (b) bx = -9.6 + 0.1*50 + 0.8*5 = -0.6 = exp(bx) / [1+ exp(bx)] = 35.43% (c) -9.6 + 0.1*X1 + 0.8*X2 = 0 or 1 X1 + 8 X2 = 96 Problem 5. (a) Minimax rule Bayes rule Reject a2 with E[L] = $110 Accept a1 E[L] ith = $44 ISDS 4141 Dr. Chun ISDS 4141 2/2 (b) If x2 (Good), then a1 (Accept). E[L] = $60 Problem 6. (a) P[Yes | Child] = 57/109 = 52.29% (b) P[Yes, No] = 57/109 * 52/109 * 2 = 49.89% (c) P[Yes | Adult Female] => P[Adult | Yes] P[Female | Yes] P[Yes] = 654/711 * 344/711 * 711/2201 = 0.14376 P[No | Adult Female] => P[Adult | No] P[Female | No] P[No] = 1438/1490 * 126/1490 * 1490/2201 = 0.05524 Since P[Yes | Adult Female] > P[No | Adult Female], classify it as Yes (d) He(Y) = 0.6291 H(Y) = He(Y) / ln(2) = 0.9077 He(Y|X) = He(X, Y) - He(X) = 0.8218 0.1971 = 0.6247 H(Y|X) = He(Y|X) / ln(2) = 0.9012 H(Y) H(Y|X) = 0.9077 0.9012 = 0.0065 (d) Classification Yes No Yes 57 654 True class No 52 1438 Total 109 2092 Error rate = (52 + 654)/1438 = 32.076% Problem 7. (a) r = 24 / sqrt(32 * 72) = 0.5 (b) d(A, B) = 4 + 6 + 0.1 = 10.1 (c) d(A, B) = sqrt(16 + 36 + 0.01) = 7.2118 (d) d(A, B) = SQRT(1 + 1 + 1) = 1.732 Problem 8. Multicorrelinearity problem! Expensive to maintain the model Hard to analyze and understand Total 711 1490 2201 Problem 9. Nave Bayesian classifiers assume that the effect of an attribute value on a given class is independent of the values of the other attributes. This assumption is called class conditional independence.

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

LSU - BUS - 7025
LSU - BUS - 7025
LSU - LTC - 09
Sponsor Registration Form 2009 Louisiana Transportation ConferenceCompany Name:_Contact:_Address:__City, State, Zip:_Telephone:_ E-mail address:_Please check the desired sponsorship level. The deadline for sponsorship registration forms i
LSU - APPL - 015
Writing: Principles for Commenting on Out (A Survey of General A Ticket to Work.Or a Ticket Student Work BusinessJohn C. Bean, Engaging Ideas. San Francisco: Jossey-Bass, 2001. pp. 251-53. Workshop Handout Excerpt to CxC by Dr. Lillian Bridwell-Bowl
LSU - APPL - 015
Created by Colleen H. Fava, Studio Coordinator, LSU Basic Sciences Communication Studio colleenf@lsu.edu; cxc.lsu.edu/bascUser's Guide to Scientific PostersOverviewA scientific poster is a large-format document meant to communicate key points rel
LSU - APPL - 015
Art Young Clemson University apyoung@clemson.eduSuggestions on Speaking Across the Curriculum for LSU Workshops, June 2-3, 2005 One communication-across-the-curriculum goal is to make writing, speaking, and communicating an authentic part of resear
LSU - APPL - 015
Plagiarism: What It Is and How to Avoid ItLillian Bridwell-Bowles, Professor of English; Director, CxC 120 Pleasant Hall Louisiana State UniversityThe following are definitions and illustrations of plagiarism from selected handbooks available to a
LSU - APPL - 015
Group ContractProvided by Loretta Pecchioni, Department of Communication Studies, LSU Available from CxC, 208 Coates Hall, Louisiana State UniversityGroup ContractWe often assign students to work in groups for a number of pedagogical and practic
LSU - APPL - 015
LSU - APPL - 015
Five Basic Rules of Professional Writing 1. [audience]. Always have a specific readership in mind, real or imaginary. 2. [purpose] Know clearly before beginning how your writing be used, why people want you to write it. 3. [style] Except technical wo
LSU - APPL - 015
InductiveTeachingandLearning Active Lectures Informal GroupStructured Team Problems Drive the CourseInstructor CenteredStudentCenteredActive LearningCollaborative LearningCooperative LearningProblem-Based LearningDeductiveteachingandl
LSU - APPL - 015
Website Assignment: POLI 4075Provided by Leonard Ray, Department of Political Science, LSU Available from CxC, 208 Coates Hall, Louisiana State UniversityParty Website Assessment Assignment The goal of this assignment is threefold.Due in class T
LSU - APPL - 015
TTH 12:00-1:30 & F 12:30-2:30 CEBA 3131 Catalog Statement 4243 Mechanical Engineering Capstone Design I (3) Prereq.: ECON 2030, ME 2212, 4244, senior standing in the College of Engineering, and credit or registration in IE 3603, ME 3752, 4183, and 44
LSU - APPL - 015
Created by Colleen H. Fava, Studio Coordinator, LSU Basic Sciences Communication Studio colleenf@lsu.edu; cxc.lsu.edu/bascIncorporating Posters into Your CurriculumOverviewA scientific poster is a large-format document meant to communicate key po
LSU - APPL - 015
English 4304, Senior Capstone in Writing and Culture, Spring 08Dr. Lillian Bridwell-BowlesResponding to Drafts and RehearsalsWhat you often get:In one of my favorite books on how to write, Writing With Power, Peter Elbow describes how we can p
LSU - APPL - 015
Teaching Scientific WritingProvided by Neal Lerner, MIT Available from CxC, 208 Coates Hall, Louisiana State UniversityTeaching Scientific WritingNeal Lerner Marilee Ogren-Balkama Massachusetts Institute of Technology The following material was d
LSU - APPL - 015
CxC Global Certification for Communication-Intensive CoursesIn special cases, CxC will certify a course, rather than an individual faculty member who chooses to offer a course as Communication-Intensive (C-I). We prefer to certify an individual beca
LSU - MATH - 4038
LSU - MATH - 4038
LSU - APPL - 027
Form #1REQUEST FOR APPROVAL OF INTERNATIONAL EXCHANGE AGREEMENT (Please complete this form and send to Jane Chandler 110 Hatcher Halljchandler@lsu.edu or 578 8348 for assistance)Date: _Submitted by:_ E-mail address_Phone #_(please print)Depa
Rocky Mountain College of Art and Design - DS - 043
Minneapolis College of Art and Design MCAD Off-Campus Study ProgramsLondon College of Communication Student Evaluation1If required by the Design Chair or Senior Faculty, you will be asked to present with the other LCC program participants. The
Rocky Mountain College of Art and Design - DS - 043
Minneapolis College of Art and Design MCAD Off-Campus Study ProgramsOff-Campus Study Student EvaluationPlease complete this form and return it to MCAD in the accompanying envelope. Your feedback will help us evaluate our exchange program and will
LSU - ETD - 04022008
ASSESSMENT OF OXYGEN SOURCES AND SINKS IN THE NORTHERN GULF OF MEXICO USING STABLE OXYGEN ISOTOPESA Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of t
LSU - ETD - 0128103
SOURCES CONSULTED Anthony, James R. French Baroque Music from Beaujoyeulx to Rameau. New York, W. W. Norton & Company, Inc. 1974. Bufofzer, Manfred F. Music in the Baroque Era, from Monteverdi to Bach. New York, W. W. Norton & Company, Inc. 1947. Cor
LSU - APPL - 003
TEACHING WITH PRIMARY SOURCESAND THELOUISIANA DIGITAL LIBRARYTThe LOUISiana Digital Library is Louisiana's doorway to the unique cultural and historical resources of Louisiana's libraries, archives, museums, and other cultural institutions.T
LSU - ETD - 10272004
THE IMPORTANCE OF FLUENT COMPONENT SKILLS IN MATHEMATICAL COMPREHENSIONA ThesisSubmitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree o
LSU - TRB - 82
Paper No. 03-2503 Paper Unavailable for CD-ROM Title: Mass Lot Designation for Workmanship Inspection using Attribute Checklists Samuels, Allan F.Author:For more information contact: Allan F. Samuels 206 S. 17th Ave. MD 134A Phoenix, Arizona 8500
LSU - TRB - 82
Accomplishing Access Management on the Florida Interstate Highway System: The US 19 Highway Corridor ExperienceJeffrey H. Kramer, AICP (Corresponding Author) Center for Urban Transportation Research University of South Florida, College of Engineeri
LSU - PHYS - 7857
Government Lab Career OptionsJonathan Dowling LSUThanks to my old friend Gordon Emslie at OSU for some of these slides.OutlineCareer Path Options Company University GovernmentGraduate StudentGraduate StudentCompanyGraduate Student
LSU - EXST - 7005
Outline1) Probability and random experiment. 2) Complement, intersection, disjoint, and union. 3) Independence. 4) Addition rule. 5) Conditional probability. 6) Multiplication rule.Spring 2008 EXST7005 - Statistical Techniques I 1Probability We
UNLV - MATH - 124
Chapter 2. Section 5 Page 1 of 3Section 2.5 More Equation SolvingRational Equations: A polynomial in one variable is an expression of the form an x n + an -1 x n -1 + . + a2 x 2 + a1 x + a0 , where the ai's are coefficients (numerical values, us