A Robust Prediction Model for Candidates Admission
Selection of prospective candidates to a higher institution of learning based on candidate’s choice of course of study is now becoming a herculean task, particularly when the carrying-capacity of two hundred and fifty–six higher institutions in Nigeria cannot admit over one million eligible candidates seeking admission yearly. Several works have been done in the past using Nave Bayes algorithm, Decision trees, K-Means algorithm, Random Forest and other Machine learning algorithms to predi...
An Improved Gradient Descent Method for Optimization of Supervised Machine Learning Problems
Gradient descent method is commonly used as an optimization algorithm for some machine learning problems such as regression analysis and classification problems. This method is highly applicable for real life of yearly demandprice commodity, agricultural products and Iris flowers. This study proposed the combination of Dai-Yuan (DY) and Saleh and Mustafa (SM) conjugate gradient methods for the optimization of supervised machine learning problems. Experiments were conducted on combined DY and ...