ML_Assignment_4.pdf

pdf

School

Drexel University *

*We aren’t endorsed by this school

Course

613

Subject

Computer Science

Date

Feb 20, 2024

Type

pdf

Pages

Uploaded by CaptainMantisMaster961

Machine Learning Assignment 4 - Linear Discrimenant Analysis Fall 2023 Solution: Write a script that: Implementation Details Meet Sakariya - 14473322 1 Linear Descriment Analysis (LDA) Classifier Precision: 0.8769497400346621 Recall: 0.8784722222222222 F-measure Score: 0.8777103209019947 Training Accuracy: 0.9103650586701434 Validation Accuracy: 0.9080234833659491 1 1. Seed the random number generate with zero prior to randomizing the data 1. Reads in the data. 2. Randomizes the data. 3. Selects the first 2/3 (round up) of the data for training and the remaining for validation. 4. Deterimines the optimal direction of projection for linear discriminant analysis. 5. Classifies each validation sample by projecting it and assinging it the class whose training post-projection mean it is closes to. 6. Computes the accuracy of the training and validation data and the precision, recall, and f- measure for the validation set. Your only task in this assignment is to implement, train and test a Linear Discriminant Classifier. Download the dataset spambase.data from Blackboard. As mentioned in the Datasets area, this dataset contains 4601 rows of data, each with 57 continuous valued features followed by a binary class label (0=not-spam, 1=spam). Your code should work on any dataset that lacks header infor- mation and has several comma-separated continuous-valued features followed by a class id 0,1.

Discover more documents: Sign up today!

Unlock a world of knowledge! Explore tailored content for a richer learning experience. Here's what you'll get:

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

Related Documents

Assignment-2.docx

Bioblastic_overorganize_monomethylated.docx

Dihydrosphingosine_overattentiveness_profarmer.docx

CEN5035 - Handout 4 Flashcards _ Quizlet.pdf

CEN5035 - Handout 7 Flashcards _ Quizlet.pdf

ML_assignment_6.pdf.pdf

CV_assignment_4.pdf.pdf

Argumentative Essay Writ. COMP Nova 2023 September 13, 2023.pdf

Binion.HW3.docx

BSTforApp.docx

CIS 1130 Topic 3 Labs.docx

CIS 1130 Topic 4 Labs.docx

Recommended textbooks for you

Operations Research : Applications and Algorithms

Computer Science

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Brooks Cole

Management Of Information Security

Computer Science

ISBN:9781337405713

Author:WHITMAN, Michael.

Publisher:Cengage Learning,

Principles of Information Systems (MindTap Course...

Computer Science

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Cengage Learning

Information Technology Project Management

Computer Science

ISBN:9781337101356

Author:Kathy Schwalbe

Publisher:Cengage Learning

Np Ms Office 365/Excel 2016 I Ntermed

Computer Science

ISBN:9781337508841

Author:Carey

Publisher:Cengage

Principles of Information Systems (MindTap Course...

Computer Science

ISBN:9781285867168

Author:Ralph Stair, George Reynolds

Publisher:Cengage Learning

SEE MORE TEXTBOOKS

Recommended textbooks for you

Operations Research : Applications and Algorithms
Computer Science
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Brooks Cole
Management Of Information Security
Computer Science
ISBN:9781337405713
Author:WHITMAN, Michael.
Publisher:Cengage Learning,
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning
Information Technology Project Management
Computer Science
ISBN:9781337101356
Author:Kathy Schwalbe
Publisher:Cengage Learning
Np Ms Office 365/Excel 2016 I Ntermed
Computer Science
ISBN:9781337508841
Author:Carey
Publisher:Cengage
Principles of Information Systems (MindTap Course...
Computer Science
ISBN:9781285867168
Author:Ralph Stair, George Reynolds
Publisher:Cengage Learning