Results 1 to 10 of about 2,573 (145)
ADASYN-LOF Algorithm for Imbalanced Tornado Samples
Atmosphere, 2022 Early warning and forecasting of tornadoes began to combine artificial intelligence (AI) and machine learning (ML) algorithms to improve identification efficiency in the past few years.
Yin Liu, Hao Wang, Qiangyu Zeng
exaly +4 more sources
Pengaruh Algoritma ADASYN dan SMOTE terhadap Performa Support Vector Machine pada Ketidakseimbangan Dataset Airbnb [PDF]
Edumatic, 2021 Traveling activities are increasingly being carried out by people in the world. Some tourist attractions are difficult to reach hotels because some tourist attractions are far from the city center, Airbnb is a platform that provides home or apartment ...
Wahyu Hidayat +2 more
doaj +4 more sources
Peningkatan Performa Model Hard Voting Classifier dengan Teknik Oversampling ADASYN pada Penyakit Diabetes [PDF]
EdumaticDiabetes is a chronic disease that arises from excess sugar levels in the body and lack of exercise intensity resulting in a buildup in the blood. Indonesia ranks fifth as the country with the largest number of people with diabetes based on a report from
Muhammad Ikhsan Anugrah +2 more
doaj +4 more sources
Journal of Applied Informatics and ComputingMetabolic Syndrome is a collection of medical conditions that can increase the risk of stroke, cardiovascular disease, and type 2 diabetes. Early detection of this condition requires a machine learning model capable of accurate classification to support ...
Lutfiana Deka Nurhayati, Majid Rahardi
doaj +2 more sources
Impact of Data Balancing and Feature Selection on Machine Learning-based Network Intrusion Detection
JOIV: International Journal on Informatics Visualization, 2023 Unbalanced datasets are a common problem in supervised machine learning. It leads to a deeper understanding of the majority of classes in machine learning.
Azhari Shouni Barkah +3 more
doaj +1 more source
Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset [PDF]
Healthcare Informatics Research, 2020 Objectives Machine learning has been widely used to predict diseases, and it is used to derive impressive knowledge in the healthcare domain. Our objective was to predict in-hospital mortality from hospital-acquired infections in trauma patients on an ...
Mehrdad Karajizadeh +4 more
doaj +1 more source
The Effect of the ADASYN Method on Widespread Metrics of Machine Learning Efficiency
Современные информационные технологии и IT-образование, 2019 The article presents the results of experimental work comparing the performance metrics of machine learning algorithms on imbalanced text corpora using the method of synthetic data generation ADASYN and without it.
Mukhit A. Baimakhanbetov +4 more
doaj +1 more source
Applied Sciences, 2021 The problem of imbalanced datasets is a significant concern when creating reliable credit card fraud (CCF) detection systems. In this work, we study and evaluate recent advances in machine learning (ML) algorithms and deep reinforcement learning (DRL ...
Tran Khanh Dang +3 more
doaj +1 more source
International Journal of Web ResearchSecuring computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). While machine learning techniques are commonly used for anomaly-based intrusion detection, data imbalance challenges conventional ...
Nasiru Ige Salihu +2 more
doaj +1 more source
Flood Status Prediction Based on Water Level Data Using Machine Learning Models
Journal of Applied Informatics and ComputingFlooding is one of the hydrometeorological disasters that frequently occurs in Indonesia and causes various social and economic losses. This study aims to compare the performance of five machine learning algorithms, namely Random Forest, Extreme Gradient
Aisyah Putri Widyastuti, Sindhu Rakasiwi
doaj +1 more source