This project consists of 3 tasks. Acquire a dataset and clean the dataset if necessary. Next is to implement k-nearest neighbor and Logistic Regression.
This is a dataset where the goal is to predict whether a radar return from the ionosphere is ‘good’ or ‘bad’. This radar data was collected by a system in Goose Bay, Labrador.
https://archive.ics.uci.edu/dataset/52/ionosphere
Also known as "Census Income". This is a dataset where the goal is topredict weather income exceeds $50K/yr based on the census.
https://archive.ics.uci.edu/dataset/2/adult
Classifying Email as Spam or Non-Spam
https://archive.ics.uci.edu/dataset/94/spambase
A small classic dataset from Fisher, 1936. One of the earliest known datasets used for evaluating classification methods.
https://archive.ics.uci.edu/dataset/53/iris
The Project write-up includes all the testing results, accuracy, losses, and any other discoveries within the project. The write-up can be found under,
https://github.com/CP322-Machine-Learning-Group/Mini-Project-1/blob/main/CP322-A1-Group7-writeup.pdf
or
File
CP322-A1-Group7-writeup.pdf
This phase of the project has come to a halt. The next focus will be on Mini-Project-2.