Drug usage duration classification using Extreme Learning Machine based on personality features
Sigit Adinugroho, Yuita Arum Sari, Nurul Hidayat · 2019
Determining the duration of drug consumption is essential for the success of treatment for drug abuse since the effectivity of such a program depends on the duration of the treatment. One promising set of features to identify the duration of drug consumption is personality features called Revised NEO Personality Inventory (NEO PI-R). In this paper, the Extreme Learning Machine model is employed to perform the classification. The model is trained and tested using 10- fold mechanism to verify the effectivity of the classification. The accuracy of the classifier differs, depending on the type of drug, with the maximum accuracy of 86.31% and the minimum one of 36.65%.