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Implementation of Random Forest Method for Customer Churn Classification
Annually, the banking sector consistently undergoes substantial expansion, as demonstrated by the
escalating quantity of banks. Nevertheless, this expansion has led to escalating rivalry among banks as they
strive to offer superior service to…
escalating quantity of banks. Nevertheless, this expansion has led to escalating rivalry among banks as they
strive to offer superior service to…
OPTIMASI ALGORITMA RANDOM FOREST UNTUK MENINGKATKAN AKURASI PREDIKSI INDEKS MASSA TUBUH (BMI)
Accurate Body Mass Index (BMI) prediction is essential for detecting obesity risks and related diseases.
This study optimizes the Random Forest algorithm to enhance BMI prediction accuracy through
hyperparameter tuning and feature selection. The…
This study optimizes the Random Forest algorithm to enhance BMI prediction accuracy through
hyperparameter tuning and feature selection. The…
MobileNetV3-based Handwritten Chinese Recognition Towards the Effectiveness of Learning Hanzi
Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character
formations. This paper explores the potential of a machine learning-based digital learning tool for writing Mandarin
characters.…
formations. This paper explores the potential of a machine learning-based digital learning tool for writing Mandarin
characters.…
CNN Method to Identify the Banana Plant Diseases based on Banana Leaf Images by Giving Models of ResNet50 and VGG-19
Identify banana plant diseases using machine learning with the CNN method to make it easier to identify diseases in banana
plants through leaf images. It employs the CNN method, incorporating ResNet50 because ResNet50 is one of the best models…
plants through leaf images. It employs the CNN method, incorporating ResNet50 because ResNet50 is one of the best models…
Comparison of the Accuracy of Drug User Classification Models Using Machine Learning Methods
Caseand s of drug abuse are on the rise, with many users entering the addiction phase, often resulting in overdose and death.
Drugs are chemical compounds that are capable of affecting biological functions, can induce feelings of happiness and…
Drugs are chemical compounds that are capable of affecting biological functions, can induce feelings of happiness and…
Precision Marketing Model using Decision Tree on SME e-commerce Case Study Orebae.com
The development of the industrial world towards industry 4.0 has resulted in changes in the lifestyle of the wider community
in carrying out their activities through digital media, one of which is shopping. This has an impact on the emergence of…
in carrying out their activities through digital media, one of which is shopping. This has an impact on the emergence of…
Network Attacks Classification for Network Forensics Investigation: Literature Reviews
Every branch of technology must constantly be on guard and anticipate the possibility of numerous cybercrimes due to the
ongoing cyber-attacks. Crimes committed in this era of digitalization will undoubtedly have a negative impact on individuals…
ongoing cyber-attacks. Crimes committed in this era of digitalization will undoubtedly have a negative impact on individuals…
Diabetes Risk Prediction using Feature Importance Extreme Gradient Boosting (XGBoost)
Diabetes results from impaired pancreas function as a producer of insulin and glucagon hormones, which regulate glucose
levels in the blood. People with diabetes today are not only experienced adults, but pre-diabetes has been identified since the…
levels in the blood. People with diabetes today are not only experienced adults, but pre-diabetes has been identified since the…
Comparative Analysis of Various Ensemble Algorithms for Computer Malware Prediction
By 2022 it is estimated that 29 billion devices have been connected to the internet so that cybercrime will become a major
threat. One of the most common forms of cybercrime is infection with malicious software (malware) designed to harm end…
threat. One of the most common forms of cybercrime is infection with malicious software (malware) designed to harm end…
YOLOv11 Model as a Smart Solution for Waste Identification and Classification in Automated Waste Management System
Urbanization and population growth present significant challenges for efficient and sustainable waste management. This research develops an IoT-based intelligent system for waste classification and
management utilizing RFID technology, ESP32, a…
management utilizing RFID technology, ESP32, a…