Please Refer to the Report PDF File for detailed explanations. k- Nearest Neighbour Classifier from Scratch
Weighted and Unweighted Implementations
Language: Python(3.4)
Author: Aman Dhingra
Student ID: 16200307
Module: Advanced Machine Learning (COMP 41450)
Prof: Derek Greene
University College Dublin
- Simply Extract the Solution.zip file into the Bin location for python execution
- Make sure the Folders "Data" and "Code" are present in the same directory
- Run the assignment.py file in the Code folder via the Terminal/IDLE
- Enter valid Integer Value of k when Prompted and press Enter
- The Results of Accuracy for given Value of k will be displayed on the console for both Weighted and Unweighted Classifiers.
- Please Write back to aman.dhingra@ucdconnect.ie incase of any issues.
Other Specifications:
Editor Used: Sublime Text 3
Relevant PC Specifications: Intel i5(4th Gen) 8 GB RAM Windows 10 (64-Bit)