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arxiv 1806.10480 v1 pith:KF3BLCV4 submitted 2018-06-19 stat.ML cs.LG

Employee Attrition Prediction

classification stat.ML cs.LG
keywords employeealgorithmcompanyaccuracyachievingannsapproachesattrition
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We aim to predict whether an employee of a company will leave or not, using the k-Nearest Neighbors algorithm. We use evaluation of employee performance, average monthly hours at work and number of years spent in the company, among others, as our features. Other approaches to this problem include the use of ANNs, decision trees and logistic regression. The dataset was split, using 70% for training the algorithm and 30% for testing it, achieving an accuracy of 94.32%.

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