UNSUPERVISED LEARNING ANALYSIS FOR OPERATIONAL EFFICIENCY IN AIRLINE INDUSTRY

The airline industry in Nigeria is faced with various challenges most of which are centered on operations. A cross-sectional survey was conducted to determine the operational efficiencies of the aviation industry in Nigeria. A sample of one hundred and fifteen was obtained with airline stakeholders as the target participants. Principal component analysis (PCA) and principal component regression (PCR) were conducted using leave -one -out cross validation for the training set based on machine learning procedures. The study shows that there is a need to improve airline operations in Nigeria. This study recommends that stakeholders should diligently consider measures to enable the airlines to have better operations.