应用算法确定树C4.5作为支持乌达亚纳大学学生选择团成员决策的模型

Alexander Hiro Wibisono, I. P. E. N. Kencana, I. W. Sumarjaya
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引用次数: 0

摘要

第901 Mayurajana营的后备军官训练团(ROTC)。2000年的协议导致ROTC被排除在印度尼西亚军事指挥结构之外,导致每个校园的ROTC成员的标准不同,因为招募过程是由学生完成的。利用chefboost中的C4.5算法寻找精度,并辅助构建理想的C4.5算法。结果表明,chefboost的C4.5算法具有低估数据的倾向,准确率为79.16%。在算法的建模过程中,发现算法倾向于低估数据的来源似乎受到新兵管理和病史的影响。
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APLIKASI ALGORITMA DECISION TREE C4.5 SEBAGAI MODEL PENDUKUNG KEPUTUSAN SELEKSI ANGGOTA RESIMEN MAHASISWA UNIVERSITAS UDAYANA
The Reserve Officer Training Corps (ROTC) of the 901st Mayurajana Battalion. The 2000 Agreement caused the ROTC to be excluded from the Indonesian Military command structure, causing the ROTC in each campus to have a diverse standard of members due to the recruitment process which are done by students. C4.5 algorithm from chefboost was used to find the accuracy as well as assist the construction of an ideal C4.5 algorithm. The result shows the C4.5 algorithm by chefboost to have a 79.16% accuracy with the tendency to underestimate the data. During the modeling of the algorithm it is discovered that the source of the algorithm’s tendency to underestimate the data appears to be affected by the recruits administration and medical history.
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