COMPARATIVE ANALYSIS OF MULTINOMIAL LOGISTIC REGRESSION AND NEURAL NETWORKS FOR MALNUTRITION PREDICTION AMONG NIGERIAN WOMEN OF REPRODUCTIVE AGE
In Nigeria, malnutrition affects women between the ages of 15 and 49 in a variety of ways, including undernutrition, overweight, and obesity, all of which have significant effects on public health. This study uses statistical machine-learning neural networks and multinomial logistic regression (MLR) to compare the nut...