[HTML][HTML] New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning

MA Muslim, TL Nikmah, DAA Pertiwi, Y Dasril - Intelligent Systems with …, 2023 - Elsevier
Abstract Peer-to-peer (P2P) Lending is a type of financial innovation that offers loans without
intermediaries to individuals and companies. In the P2P lending system, there is a risk of …

Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians

G Brydges, A Uppal, V Gottumukkala - Current Oncology, 2024 - mdpi.com
This narrative review explores the utilization of machine learning (ML) and artificial
intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer …

[PDF][PDF] Utilizing the genetic algorithm to pruning the C4. 5 decision tree algorithm

MM Mijwil, RA Abttan - Asian J. Appl. Sci, 2021 - researchgate.net
A decision tree (DTs) is one of the most popular machine learning algorithms that divide
data repeatedly to form groups or classes. It is a supervised learning algorithm that can be …

Application of the c4. 5 algorithm for identifying regional zone status using a decision tree in the covid-19 series

U Rahardja - Aptisi Transactions on Technopreneurship (ATT), 2022 - att.aptisi.or.id
Creativity is the act of coming up with an idea. In order to contribute to economic growth,
entrepreneurs are currently adapting creativity in their business operations. Creativity is …

Improved accuracy of naive bayes classifier for determination of customer churn uses smote and genetic algorithms

AR Safitri, MA Muslim - Journal of Soft Computing Exploration, 2020 - shmpublisher.com
With increasing competition in the business world, many companies use data mining
techniques to determine the level of customer loyalty. The customer data used in this study is …

Evaluation performance recall and F2 score of credit card fraud detection unbalanced dataset using SMOTE oversampling technique

B Prasetiyo, MA Muslim, N Baroroh - Journal of physics …, 2021 - iopscience.iop.org
Unbalanced data becomes an interesting research and continues to be studied because of
its uniqueness. Unbalanced data requires special treatment prior to making the data …

The implementation of z-score normalization and boosting techniques to increase accuracy of c4. 5 algorithm in diagnosing chronic kidney disease

HA Prihanditya - Journal of Soft Computing Exploration, 2020 - shmpublisher.com
In the health sector, data mining can be used as a recommendation to predict a disease from
the collection of patient medical record data or health data. One of the techniques can be …

Improve the accuracy of support vector machine using chi square statistic and term frequency inverse document frequency on movie review sentiment analysis

UI Larasati, MA Muslim, R Arifudin… - Scientific Journal of …, 2019 - journal.unnes.ac.id
Data processing can be done with text mining techniques. To process large text data is
required a machine to explore opinions, including positive or negative opinions. Sentiment …

[PDF][PDF] Credit risk assessment in P2P lending using LightGBM and particle swarm optimization

Y Dasril, MA Muslim, MF Al Hakim… - Register: Jurnal …, 2023 - test.journal.unipdu.ac.id
The credit risk evaluation is a vital task in the P2P Lending platform. An effective credit risk
assessment method in a P2P lending platform can significantly influence investors' …

Application of C4. 5 Algorithm for Cattle Disease Classification

E Indra, K Ho, R Hakim, D Sitanggang… - Journal of Physics …, 2019 - iopscience.iop.org
Data mining is a series of process to gain values such as informations that is manually
unknown from a database by mining patterns from the data (with the intention to manipulate …