Machine Learning - A Case Study
BY
Project Supervisor
…..……………………………… DR JOSEPH C. ATTACHIE
August, 2024
i
Declaration
I declare that this project work is my own work. It is being submitted for the degree of Bachelor of Science in Electrical and Electronic Engineering in the University of Mines and Technology (UMaT), Tarkwa. It h as not been submitted for any degree or examination in any other University.
………………………… (Signature of Candidate) ………day of ……………………….., 2024.
ii
Dedication
This work is dedicated to my parents, Mr Tawiah Maxwell Ebu and Mrs Cecilia Nyarkoa, and my sister, Ms Alberta Agyapomaa Tawiah, for their support and unconditional love throughout my life.
iv
Contributions
My ultimate gratitude goes to God Almighty for giving me the insight and strength in all the days I spent to acquire my first degree. I am also grateful to my supervisor, Dr Joseph C. Attachie, for his maximum attention, time, and guidance while supervising this work. Finally, I appreciate my parents and siblings for their support throughout my study.
v
Table Of Contents
Contents Page DECLARATION i ABSTRACT ii DEDICATION iii ACKNOWLEDGEMENT iv TABLE OF CONTENTS v LIST OF FIGURES vii LIST OF TABLES viii LIST OF ABBREVIATIONS ix INTERNATIONAL SYSTEM OF UNITS (SI UNITS) x
K-nearest Neighbour (knn) 11
vi
Appendix B Codes For Developing Models 33
vii
List Of Figures
Figure Title Page
A Graphical Representation Of The 15
Distribution of the Faults in the Dataset
Pr Curves 22
viii
List Of Tables
Table Title Page
Fault Classification According To Iec 60599 And 7
IEEE C57.104 Standard
Classification Result And Confusion 18
Matrice for Decision Tree Classifier
Classification Result And Confusion 19
Matrice for SVM Classifier
Classification Result And Confusion 19
Matrice for KNN Classifier