Performance of machine learning models and their hybrids for selecting block variables in randomized complete block design (RCBD)
Published by
University of Calabar
Summary
Doctoral dissertation exploring the efficiency and application of advanced machine learning models and hybrid approaches for optimal block variable selection within randomized complete block designs, enhancing experimental design methodologies.