The Utilization of Resampling Techniques and the Random Forest Method in Data Classification
C Ciciana, R Rahmawati… - TIN: Terapan Informatika …, 2023 - ejurnal.seminar-id.com
In data classification, there are various methods that can be employed, one of which is the
random forest method. This method proves effective in handling non-linear data, exhibiting …
random forest method. This method proves effective in handling non-linear data, exhibiting …
PENGARUH TEKNIK OVERSAMPLING PADA ALGORITMA MACHINE LEARNING DALAM KLASIFIKASI BODY MASS INDEX (BMI)
IF Hawari, MK Najib, S Nurdiati… - Jurnal Riset dan …, 2024 - journal.unesa.ac.id
BMI is the basic of people's weight classification that can indicate serious diseases such as
obesity. Many researches have been published about BMI classification using machine …
obesity. Many researches have been published about BMI classification using machine …
Prediksi Penyakit Jantung Berdasarkan Indikator-Indikator Kesehatan
JK Filemon, WF Senjaya - Jurnal STRATEGI-Jurnal …, 2024 - strategi.it.maranatha.edu
This research aims to predict heart disease using Machine Learning. The dataset used is
obtained from a website called Kaggle. The benefits of this research can help prevent …
obtained from a website called Kaggle. The benefits of this research can help prevent …
Implementasi logistic regression ensemble (LORENS) dalam pengklasifikasian angka kematian bayi di Indonesia
MS Munawar - 2023 - etheses.uin-malang.ac.id
Puji syukur kehadirat Allah Swt. atas segala limpahan rahmat dan karuania-Nya sehingga
peneliti dapat menyelesaikan proposal skripsi dengan baik. Sholawat serta salam …
peneliti dapat menyelesaikan proposal skripsi dengan baik. Sholawat serta salam …