Public service motivation (PSM) has been defined as a somebody's desire to advance community principles over committing facilities to the governmental sector. Whereas prosocial motivation (PM) is the desire of the total community to support individuals, PSM is a definite kind of prosocial motivation connected to public provision. High public service motivation is significantly linked with high levels of prosocial behavior between staffs in the governmental sector. PSM and PM have been proposed to affect work results. Although there is noteworthy study on PSM and PM, there is a lack of significant study on these motivations through detailed orientation to non-Western countries. This study examines the impact of PSM and PM on engagement, commitment, and organizational citizenship behavior (OCB) in the governmental sector in the Kurdistan Region of Iraq via using machine learning techniques. Data were gathered from 418 public workers from different cities in the Kurdistan Region. Machine learning procedures, with support vector machines (SVM), k-nearest neighbors (KNN), linear regression, and logistic regression, were used to analyze the data. The outcomes discovered that PSM assumes employee engagement, organizational commitment, and OCB between staffs. Moreover, the connection between PM and these variables is also positive, mentioning that both PSM and PM have impact on the whole performances and attitudes of staffs in the public sector setting. This study has inferences for worker motivation in the public sector, particularly for human resource departments and employees. Furthermore, it informs current discussions on the usage of motivational systems or practices in the governmental sector and their association to administrative efficiency.