These projects were made to complete the “Introduction to Machine Learning” course at my fourth semester of Informatics Engineering Study at Brawijaya University.
In the first project, I used Condensed Nearest Neighbors (CNN) algorithm. CNN is one of the modified K-Nearest Neighbors classification algorithm that designed to reduce the data set for k-NN classification.
In the second project, I compared numeric data classification using Condensed Nearest Neighbors and Gaussian Naive Bayes Algorithm by the number of recall, preposition, accuration and f-1 score of the results from each classification algorithms.