knn_recruitment

A Recruitment bot that uses K-Nearest Neighbors Algorithm to determine whether you should hire the applicant or not

It uses the data in sample_data.txt as sample to find the older applicants with scores near to new applicant.

Candidate.java

Candidate class with scores(social, algorithm, gpa, age) out of 5 and hired( 1 for hired, 0 for not hired). It also has a distance property that will be objects Euclidean distance to new applicant's scores.

Program.java

It takes scores of the candidate and k number for k-nearest neighbors algorithm from user, calculates the Euclidean distance of each applicant's score.

Then it sorts the applicants by Euclidean distance to new candidate with merge sort, searches the k-nearest neighbors and if more than half of that applicants are hired, it hires the new applicant.