Penerapan Data Mining Untuk Klasifikasi Penjualan Barang Terlaris Menggunakan Metode Decision Tree C4. 5
NW Wardani, PGSC Nugraha… - Jurnal Teknologi …, 2022 - jurnal.undhirabali.ac.id
This research aims to find the best accuracy from the decision tree model so that the model
can perform well for bestselling sales classification and make the model usable and
integrated with other systems through the Application Programming Interface (API). This
analysis uses the decision tree method and the Cross-Industry Standard Process for Data
Mining (CRISP-DM) as the research process flow. The research results that have been
obtained in the early stages of the model can produce an accuracy of 90.85% in RapidMiner …
can perform well for bestselling sales classification and make the model usable and
integrated with other systems through the Application Programming Interface (API). This
analysis uses the decision tree method and the Cross-Industry Standard Process for Data
Mining (CRISP-DM) as the research process flow. The research results that have been
obtained in the early stages of the model can produce an accuracy of 90.85% in RapidMiner …
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