ANALISIS CART (CLASSIFICATION AND REGRESSION TREES) UNTUK PREDIKSI PENGGUNA SEPEDA BERDASARKAN CUACA
نویسندگان
چکیده
Penelitian ini menyajikan model klasifikasi berbasis aturan untuk prediksi pengguna sepea berdasarkan cuaca. Pengguna sepeda sangat populer karena kenyamanan dan kelestarian lingkungan menjadi meningkat. Data yang digunakan merupakan data publik dari Bike Sharing Dataset diambil Kaggle. tersebut memiliki setiap jam. Dengan dataset penulis berhasil menemukan akurasi metode CART menjelaskan hasil akurasinya mencapai 96%. Hasil penelitian dengan menunjukkan arsitektur perkiraan distribusi di bawah berbagai spatiotemporal variable, pendistribusian penggunaan waktu termasuk variabl paling berpengaruh dalam tersebut.
منابع مشابه
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Bellows TS and Fisher TW (eds.) (1999) Handbook of Biological Control: Principles and Applications of Biological Control. San Diego: Academic Press. Clausen CP (ed.) (1978) Agricultural Research Service: Handbook No. 480: Introduced Parasites and Predators of Arthropod Pests and Weeds: A World Review. Washington, DC: USDA: Agricultural Research Service. DeBach P and Rosen D (1991) Biological Co...
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ژورنال
عنوان ژورنال: Jurnal Teknoinfo
سال: 2022
ISSN: ['1693-0010', '2615-224X']
DOI: https://doi.org/10.33365/jti.v16i1.1478