Nora Ibrahem Alghurair et al, International Journal of Computer Science and Mobile Computing, Vol.9 Issue.6, June- 2020, pg. 132-140 © 2020, IJCSMC All Rights Reserved 132 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320088X IMPACT FACTOR: 7.056 IJCSMC, Vol. 9, Issue. 6, June 2020, pg.132 140 GENERIC FRAMEWORKS FOR SVM, ANN, LGBM, AND LR ALGORITHMS Nora Ibrahem Alghurair¹; Mohammad A. Mezher² ¹College of Postgraduate Studies & Scientific Research, Fahad Bin Sultan University, Tabuk, KSA ²College of Computing, Fahad Bin Sultan University, Tabuk, KSA 1 noraibrahem018@gmail.com; 2 mmezher@fbsu.edu.sa AbstractWorld Health Organization describes diabetes as a multiple etiological metabolic condition defined by persistent hyperglycemia with anomalies in glucose, lipid and protein metabolism triggered by insulin secretion deficiencies, lipid or both. Diabetes is one of the 21st century's most daunting health problems in the world, and affects over 425 million people. Data mining is one of the major techniques which develops and supports medical data research. The aim of this research was to establish a diagnostic framework for diabetes. The PIDD used to function description. Two generic frameworks have been proposed in the study. The first framework uses the ANN technique and fed production to SVM which yields the diagnostic result. With this generic framework, five experiments are carried out and the highest accuracy achieved was 81.8%. The second framework employs an ensemble of majority voting techniques which combines LGBM, SVM, and LR. The generic framework was right at 87.9 per cent. The frameworks presented in contrast with other state-of-the-art solutions, and it found that the second solution is the better one. KeywordsNeural Networks, LGBM, SVM, LR, Diabetes, PIMA Indian, UCI I. INTRODUCTION The World Health Organization (WHO) describes diabetes as a multiple etiological metabolic condition defined by persistent hyperglycemia with glucose, lipid and protein metabolism abnormalities triggered by deficiencies in insulin secretion, lipid, or both (Lorenzo et al.,2007). Nearly half of the patients with diabetes was affected by heredity factor, which is known to be a significant characteristic of diabetes. The pathologic causes of diabetes are the decreased insulin output leading to pancreatic failure. There are two forms of Diabetes. β-cells are type 1 diabetes mellitus pathogenesis, which is impaired by pancreatic secretions, blocking the lowering of blood glucose level. The impairment of insulin resistance and insulin secretion, the pathogeneses of type 2 diabetes mellitus are known to be diabetes based on non-insulin (Muller et al.,2005). In under fifty years, the incidence of this disorder has risen five-fold. This gradual increase is due to different factors. World population growth, a rise in life expectancy for diabetics, a rise in pregnancy among diabetic mothers, an increase in obesity, an increase in intake of processed sugars. Along with other factors that can serve as a trigger such as sedentary lifestyle, diets high in saturated fat and proteins, reduced fiber intake, a food poor in complex carbohydrates and vitamin E, unnecessary stress, Tobacco that may promote the resistance to insulin (Vlassara & Uribarri.,2014). Diabetes is one of the world's most daunting health problems of the 21st century and impacts more than 425 million individuals. The most prevalent type 2 diabetes mellitus triggered by insulin resistance is the most severe form of diabetes accounting for 90-95 cases led by type 1 diabetes mellitus accounting for diabetes becoming the world's fifth leading cause of disease death (Wild et al.,2004). Diabetes is becoming a significant global problem that is viewed as a red threat to human health. Diabetes is linked with serious symptoms and a variety of adverse reactions of all sorts including lack of hearing, impaired immune function, cardiac problems, skin disorders, renal dysfunction, nerve impairment and even disruption to