Prediksi Potensi Donatur Menggunakan Model Logistic Regression
نویسندگان
چکیده

 GRDS menghadapi kelangkaan dana, ketika diperlukan untuk merawat para korban Gaja. Gaja adalah topan bernama kelima dari musim siklon Samudra Hindia Utara 2018 yang mempengaruhi sebagian besar tempat di Tamil Nadu, India selama bulan November 2018. Tujuan penelitian ini menggunakan riwayat donasi menganalisis apakah donator akan menyumbang atau tidak regresi logistik. Data Nadu diberikan menerapkan model dibangun memprediksi paling mungkin menjadi Pada tahap pengumpulkan data seringkali terjadi hambatan, salah satu hambatannya yaitu fenomena missing hilang. Akibat adanya pendugaan parameter efisien. Ukuran berkurang dapat mengakibatkan kesulitan dalam menganalisis, sehingga hasil didapatkan valid dan tujuan tercapai. hilang diisi metode single imputation. telah diimputasi beberapa membantu melakukan prediksi. Dimana algoritma digunakan prediksi ialah logistic regression. Beberapa dihilangkan setelah melihat multikolinearitas. Dalam pemodelan, dibagi 2 70% pelatihan 30% tes. perhitungan akurasi 0,6129 menunjukkan bahwa dengan baik tersebut.
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ژورنال
عنوان ژورنال: Indonesian Journal of Data and Science
سال: 2023
ISSN: ['2715-9930']
DOI: https://doi.org/10.56705/ijodas.v4i1.64