Rainfall Forecasting using the Classification and Regression Tree (CART) Algorithm and Adaptive Synthetic Sampling (Study Case: Bandung Regency)

2019 ◽  
Author(s):  
Siti Nur Lathifah ◽  
Fhira Nhita ◽  
Annisa Aditsania ◽  
Deni Saepudin
Keyword(s):  
Regression Tree ◽  
Classification And Regression Tree ◽  
Rainfall Forecasting ◽  
Study Case ◽  
Classification And Regression ◽  
Cart Algorithm

scholarly journals PERBANDINGAN KLASIFIKASI ALGORITMA C5.0 DENGAN CLASSIFICATION AND REGRESSION TREE (STUDI KASUS : DATA SOSIAL KEPALA KELUARGA MASYARAKAT DESA TELUK BARU KECAMATAN MUARA ANCALONG TAHUN 2019)

2020 ◽  
Vol 14 (2) ◽  
pp. 273-284
Author(s):  
Reni Pratiwi ◽  
Memi Nor Hayati ◽  
Surya Prangga
Keyword(s):  
Decision Tree ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Accuracy Rate ◽  
A Algorithm ◽  
Binary Decision ◽  
Binary Decision Tree ◽  
Classification And Regression ◽  
And Gender ◽  
Cart Algorithm

Decision tree is a algorithm used as a reasoning procedure to get answers from problems are entered. Many methods can be used in decision trees, including the C5.0 algorithm and Classification and Regression Tree (CART). C5.0 algorithm is a non-binary decision tree where the branch of tree can be more than two, while the CART algorithm is a binary decision tree where the branch of tree consists of only two branches. This research aims to determine the classification results of the C5.0 and CART algorithms and to determine the comparison of the accuracy classification results from these two methods. The variables used in this research are the average monthly income (Y), employment (X1), number of family members (X2), last education (X3) and gender (X4). After analyzing the results obtained that the accuracy rate of C5.0 algorithm is 79,17% while the accuracy rate of CART is 84,63%. So it can be said that the CART method is a better method in classifying the average income of the people of Teluk Baru Village in Muara Ancalong District in 2019 compared to the C5.0 algorithm method.   Keywords: C5.0 Algorithm, CART, Classification, Decision Tree.

Classification and regression tree-based prediction of 6-mercaptopurine-induced leucopenia grades in children with acute lymphoblastic leukemia

2019 ◽  
Vol 83 (5) ◽  
pp. 875-880 ◽  
Author(s):  
Shaik Mohammad Naushad ◽  
Patchava Dorababu ◽  
Yedluri Rupasree ◽  
Addepalli Pavani ◽  
Digumarti Raghunadharao ◽  
...  
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
Lymphoblastic Leukemia ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Classification And Regression
Sign in / Sign up

Export Citation Format

Share Document