234 F.Kh. Jaber, N.A. Jasim, F.M.S. Al-Zwainy Key words: Machine Learning Regression Techniques (MLRT), earned value indexes, SPI, CPI, and TCPI Introduction The construction industry is an im- portant industry for any government due to its direct association with the im- plementation of the goals and policies of the government in various fields of concern to the citizen in terms of educa- tion, health, housing and other facilities and services. The construction industry is also one of the broad and important sectors of any country’s economy, and it is one of the main engines that govern- ments resort to move the economy and create jobs and reduce unemployment. And the construction industry has unique characteristics, which made it an industry that is distinguished from the rest of the other industries by its many risks, and its projects always suffer from the problems of delay in implementation and increase in cost in most countries of the world. Among the most important characteris- tics of the construction industry (Myers, 2005): The nature of its product is unique, each project differs from the other, and the temporary of each project is limited in duration and location, with the completion of the project, the equipment and labor will be trans- ferred to another project in another place. The nature of work within a single project is fragmented, as several dif- ferent parties separate and separate to complete the project. The industry’s heavy dependence on manpower and its lack of research and development in methods and methods of implementation. 1. 2. 3. Scientific Review – Engineering and Environmental Sciences (2020), 29 (2), 234–243 Sci. Rev. Eng. Env. Sci. (2020), 29 (2) Przegląd Naukowy – Inżynieria i Kształtowanie Środowiska (2020), 29 (2), 234–243 Prz. Nauk. Inż. Kszt. Środ. (2020), 29 (2) http://iks.pn.sggw.pl DOI 10.22630/PNIKS.2020.29.2.20 Firas Kh. JABER 1 , Nidal A. JASIM 2 , Faiq M.S. Al-ZWAINY 3 1 Middle Technical University, Electrical Engineering Technical College 2 University of Diyala, College of Engineering 3 Al-Nahrain University, College of Engineering Forecasting techniques in construction industry: earned value indicators and performance models