Results 51 to 60 of about 2,573 (145)

APPLICATION OF SUPPORT VECTOR MACHINE FOR CLASS IMBALANCE LEARNING TO PREDICT ANTICANCER COMPOUNDS OF MEDICINAL PLANTS IN WEST SULAWESI

Barekeng
Indonesian medicinal plants, such as turmeric and soursop, have shown promising anticancer properties through their bioactive compounds, like curcumin and extracts from soursop.
Hikmah Hikmah, Nur Hilal A Syahrir, Putri Indi Rahayu   +2 more
doaj   +1 more source

Pengukuran Kinerja Model Klasifikasi dengan Data Oversampling pada Algoritma Supervised Learning untuk Penyakit Jantung

Computer Science
Penyakit jantung tetap menjadi penyebab utama kematian di Indonesia dan dunia. Dalam data mining, ketidakseimbangan kelas antara sampel penyakit jantung dan normal dalam dataset adalah masalah serius.
Anis Masruriyah, Hilda Novita, Cici Sukmawati, Angga Ramadhan, Siti Arif, Budi Dermawan   +5 more
doaj   +1 more source

Improving Cervical Cancer Classification Using ADASYN and Random Forest with GridSearchCV Optimization [PDF]

Cervical cancer is a leading cause of death among women, with over 300,000 deaths recorded in 2020. This study aims to improve the accuracy of cervical cancer diagnosis classification through a combination of Adaptive Synthetic Sampling (ADASYN) and ...
Megantara, Rama Aria, Saputra, Resha Mahardhika, Pramunendar, Ricardus Anggi, Yusuf, Moh., Pramudi, Yuventius Tyas Catur, Erawan, Lalang, Alzami, Farrikh   +6 more
core   +1 more source

A Hybrid Approach for Malicious URL Detection Using Ensemble Models and Adaptive Synthetic Sampling

JOIV: International Journal on Informatics Visualization
Malicious URLs pose a significant cybersecurity threat, often leading to phishing attacks, malware infections, and data breaches. Early detection of these URLs is crucial for preventing security vulnerabilities and mitigating potential losses.
Khaled Mahmud Sujon, Rohayanti Hassan, Muhammad Edzuan Zainodin, Mohamad Aizi Salamat, Shahreen Kasim, Alde Alanda   +5 more
doaj   +1 more source

Improving Breast Cancer Classification with Adaptive Synthetic Sampling, Feature Selection, and Hyperparameter Optimization

ARO-The Scientific Journal of Koya University
Breast cancer is a major global health concern, highlighting the need for accurate and efficient diagnostic solutions rather than persistent issues with detection accuracy.
Hayder N. Jasim, Wesam M. Jasim, Mohammed S. Ibrahim   +2 more
doaj   +1 more source

Performance Comparison of AdaBoost, LightGBM, and CatBoost for Parkinson's Disease Classification Using ADASYN Balancing [PDF]

Parkinson's disease is a neurodegenerative condition identified by the decline of neurons that produce dopamine, causing motor symptoms such as tremors and muscle stiffness. Early diagnosis is challenging as there is no definitive laboratory test.
Muliadi, Muliadi, Indriani, Fatma, Rozaq, Hasri Akbar Awal, Saragih, Triando Hamonangan, Anshari, Muhammad Ridha, Yıldız, Oktay, Kartini, Dwi   +6 more
core   +1 more source

Predictive Modeling of Cerebral Strokes: An ADASYN-RF Approach for Imbalanced Data [PDF]

Cerebral stroke is a condition that occurs when blood flow to the brain suddenly stops, and the cells in the brain subsequently die due to lack of oxygen and nutrients. A stroke is associated with risk factors that are mainly linked with lifestyles today,
Aish, Muhammad Abdullah
core   +1 more source

The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Indonesia's maternal mortality rate was the second highest in ASEAN, reflecting the problem of class imbalance in maternal health data. This research aimed to improve prediction accuracy in the classification of pregnant women's diseases through the ...
Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman   +4 more
doaj   +1 more source

Results with different balancing methods (no balancing, random majority subsampling and ADASYN oversampling) and calibration methods (no calibration, Beta Calibration and Isotonic Calibration).

, 2022
Results with different balancing methods (no balancing, random majority subsampling and ADASYN oversampling) and calibration methods (no calibration, Beta Calibration and Isotonic Calibration).
Juan-Carlos Perez-Cortes (13104463), Mª Jose Caballero Mateos (13104457), Laura Arnal (190816), Pablo Ruiz-Valls (13104454), J. Ramón Navarro-Cerdán (13104451), Pedro Pons-Suñer (9321144), Bernardo Valdivieso Martínez (13104460)   +6 more
core   +1 more source

Churn Prediction Menggunakan ADASYN (Adaptive Synthetic Sampling Approach) dan Support vector Machine [PDF]

, 2017
Churn prediction adalah suatu penelitian yang sedang ramai dibicarakan belakangan ini. Churn adalah kecenderungan pelanggan berpindah atau berpaling dari suatu perusahaan ke perusahaan lainya.
YUDI YAHYA
core