C4.5 Algorithm with Average Gain to Predict Human Development Index in Indonesia
Jajam Haerul Jaman · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Poorness makes the government's program to create national development goal rising -Benchmark for the success of human development called Human Development Index.An area that has a high Human Development Index should have good quality human, or if the Human Development Index high, then grade of the poorness is low.C4-5 algorithm method is one of the methods of creating a decision tree from the training data available.C4-5 algorithm is the expansion from ID3.The goal of this research is to predict the Human Development Index in Indonesia and make the decision tree from the data.Attributes that use in this research are Life Expectancy, Mean Years of Schooling, expect years of schooling, and per capita income.There are two an in this research are with mean and median from each attribute.The data for this research method 4473 data.The result shows that Scenario with the has classification is 1st Scenario with mean from each attribute, that to accurate 85,893%.