Information gain ratio
View article: 52bet: Entretenimento Online com Grandes Chances de Ganho
52bet: Entretenimento Online com Grandes Chances de Ganho Open
A plataforma 52bet vem ganhando destaque entre os amantes de apostas online por oferecer uma experiência completa, dinâmica e voltada tanto para diversão quanto para oportunidades reais de lucro. Com um design moderno e fácil de usar, o si…
View article: 52bet: Entretenimento Online com Grandes Chances de Ganho
52bet: Entretenimento Online com Grandes Chances de Ganho Open
A plataforma 52bet vem ganhando destaque entre os amantes de apostas online por oferecer uma experiência completa, dinâmica e voltada tanto para diversão quanto para oportunidades reais de lucro. Com um design moderno e fácil de usar, o si…
View article: Data-driven prediction of cattle weight gain for evaluating key growth factors with machine learning approaches
Data-driven prediction of cattle weight gain for evaluating key growth factors with machine learning approaches Open
Accurate prediction of cattle weight gain is critical for optimizing herd management, improving productivity, and promoting sustainable livestock practices. Traditional monitoring methods, such as manual data collection and periodic survey…
View article: Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers Open
In the face of increasing cyberattacks, Structured Query Language (SQL) injection remains one of the most common and damaging types of web threats, accounting for over 20% of global cyberattack costs. However, due to its dynamic and variab…
View article: IoT Botnet Detection: A Comparative Performance Analysis of Various ML Models on IoT-23 Dataset
IoT Botnet Detection: A Comparative Performance Analysis of Various ML Models on IoT-23 Dataset Open
Objectives: To compare the performance of Machine Learning (ML) models for Intrusion Detection in IoT environment. Methods: This study was employed on 7 the IoT-23 dataset, which has 6,046,623 network records from 23 attack and 8 benign sc…
View article: The ranking results (<i>rankscore</i> in descending order) of different metrics according to their information gain obtained on the first 9 projects in Table 1 (The weighting mechanism is DWM).
The ranking results (<i>rankscore</i> in descending order) of different metrics according to their information gain obtained on the first 9 projects in Table 1 (The weighting mechanism is DWM). Open
The ranking results (rankscore in descending order) of different metrics according to their information gain obtained on the first 9 projects in Table 1 (The weighting mechanism is DWM).
View article: The distribution of Information Gain (IG) scores for each feature in the Information Gain method, ordered from the most important to the least important (left to right).
The distribution of Information Gain (IG) scores for each feature in the Information Gain method, ordered from the most important to the least important (left to right). Open
The distribution of Information Gain (IG) scores for each feature in the Information Gain method, ordered from the most important to the least important (left to right).
View article: Optimizing intrusion detection with data balancing and feature selection techniques
Optimizing intrusion detection with data balancing and feature selection techniques Open
The rapid growth of IoT devices has brought significant security challenges, particularly in detecting various types of attacks within heterogeneous network environments. This study explores the effectiveness of data balancing techniques, …
View article: Information Gain Feature Selection for Temporal Sentiment Analysis of Pedulilindungi Application Review using Naïve Bayes Classifier Algorithm
Information Gain Feature Selection for Temporal Sentiment Analysis of Pedulilindungi Application Review using Naïve Bayes Classifier Algorithm Open
Through the Instruction of the Minister of Home Affairs of the Republic of Indonesia Number 38 of 2021 concerning the Implementation of Restrictions on Community Activities (PPKM), all communities are required to use the Pedulilindungi app…
View article: Performance metrics of the TinyML models.
Performance metrics of the TinyML models. Open
With the expansion of Internet of Things (IoT) devices, security is an important issue as attacks are constantly gaining more complex. Traditional attack detection methods in IoT systems have difficulty being able to process real-time and…
View article: Sistem Deteksi Malware Menggunakan Information Gain dan Decision Tree
Sistem Deteksi Malware Menggunakan Information Gain dan Decision Tree Open
Malicious Software, atau yang dikenal dengan malware, merupakan perangkat lunak berbahaya yang dapat menyebabkan hal-hal yang tidak diinginkan, seperti kehilangan data, pencurian informasi, penyebaran data pribadi, dan penyalahgunaan infor…
View article: Enhancing blockchain transaction classification with ensemble learning approaches
Enhancing blockchain transaction classification with ensemble learning approaches Open
Since the emergence of Blockchain as Bitcoin, its development has progressed rapidly and attracted the attention of various researchers in academia and industry. Blockchain technology is becoming an increasingly secure and effective way to…
View article: GlassBoost: A lightweight and explainable classification framework for tabular datasets
GlassBoost: A lightweight and explainable classification framework for tabular datasets Open
Explainable artificial intelligence (XAI) is essential for fostering trust, transparency, and accountability in machine learning systems, particularly when applied in high-stakes domains. This paper introduces a novel XAI system designed f…
View article: Introduction to the five VIs text.
Introduction to the five VIs text. Open
This study aims to address the challenge of monitoring Plant Height (PH), SPAD, Leaf Area Index (LAI), and Above-Ground Biomass (AGB) in Gerbera under greenhouse cultivation conditions. We initially gathered multi-spectral images and corr…
View article: The original data used in this study.
The original data used in this study. Open
This study aims to address the challenge of monitoring Plant Height (PH), SPAD, Leaf Area Index (LAI), and Above-Ground Biomass (AGB) in Gerbera under greenhouse cultivation conditions. We initially gathered multi-spectral images and corr…
View article: Technical route diagram.
Technical route diagram. Open
This study aims to address the challenge of monitoring Plant Height (PH), SPAD, Leaf Area Index (LAI), and Above-Ground Biomass (AGB) in Gerbera under greenhouse cultivation conditions. We initially gathered multi-spectral images and corr…
View article: RFEcv algorithm flowchart.
RFEcv algorithm flowchart. Open
This study aims to address the challenge of monitoring Plant Height (PH), SPAD, Leaf Area Index (LAI), and Above-Ground Biomass (AGB) in Gerbera under greenhouse cultivation conditions. We initially gathered multi-spectral images and corr…
View article: Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting
Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting Open
View article: Integrating Ensemble Learning and Information Gain for Malware Detection based on Static and Dynamic Features
Integrating Ensemble Learning and Information Gain for Malware Detection based on Static and Dynamic Features Open
The rapid advancement of malware poses a significant threat to devices, like personal computers and mobile phones. One of the most serious threats commonly faced is malicious software, including viruses, worms, trojan horses, and ransomwar…
View article: Evaluation of Feature Selection Methods and Machine Learning Models for Identifying Collided Positions of Containers Equipped with an Accelerometer
Evaluation of Feature Selection Methods and Machine Learning Models for Identifying Collided Positions of Containers Equipped with an Accelerometer Open
In the logistics and trade that are highly dependent on containers, efficient identification of col-lided positions is of great significance for enhancing cargo safety supervision and accident respon-sibility. Traditional methods that rely…
View article: Bem-estar animal e conforto térmico em Sistemas de ILPF.
Bem-estar animal e conforto térmico em Sistemas de ILPF. Open
Resumo: 1 - SISTEMAS AGROSSILVIPASTORIS (ILPF) CARACTERÍSTICAS: - Pecuária brasileira: pastagens; - Cenários climáticos: desafios (eventos extremos e ondas de calor); - Sistemas agrossilvipastoris (ILPF): combinação de lavouras, árvores e …
View article: Tree Trait Task Force (3TF) - Tree Functional Trait Database
Tree Trait Task Force (3TF) - Tree Functional Trait Database Open
Tree Trait Task Force (3TF) - Tree Functional Trait DatabaseCorresponding author :[email protected]@[email protected] dataset was originally created to offer scientists and the public a “ready-to-use”…
View article: Tree Trait Task Force (3TF) - Tree Functional Trait Database
Tree Trait Task Force (3TF) - Tree Functional Trait Database Open
Tree Trait Task Force (3TF) - Tree Functional Trait DatabaseCorresponding author :[email protected]@[email protected] dataset was originally created to offer scientists and the public a “ready-to-use”…
View article: A Decision Tree Based On Related Family
A Decision Tree Based On Related Family Open
Decision trees are widely used supervised learning models known for their simplicity, interpretability, and effectiveness in classification and regression tasks. Feature selection can remove redundant and noisy features, enhancing the gene…
View article: Match Prediction Analysis Based on LGBM Model with Information Gain Decision Tree
Match Prediction Analysis Based on LGBM Model with Information Gain Decision Tree Open
View article: Analysis of dimensionality reduction on ransomware detection using machine learning techniques
Analysis of dimensionality reduction on ransomware detection using machine learning techniques Open
Ransomware attacks continue to evolve as a pervasive threat to cybersecurity such as data loss, financial losses, and potential disruption of critical services which have prompted the need for robust detection mechanisms. Leveraging on mac…
View article: Lightweight Machine Learning-Based DOS Attack Detection in Wireless Sensor Networks Using Decision Tree and Information Gain
Lightweight Machine Learning-Based DOS Attack Detection in Wireless Sensor Networks Using Decision Tree and Information Gain Open
—Wireless Sensor Networks (WSNs) are rapidly expanding across various domains due to their unique characteristics and performance capabilities. However, these networks are highly vulnerable to a range of security threats, particularly Deni…
View article: Comparison of Feature Selection with Information Gain Method in Decision Tree, Regression Logistic and Random Forest Algorithms
Comparison of Feature Selection with Information Gain Method in Decision Tree, Regression Logistic and Random Forest Algorithms Open
One of the approaches that can be done is to perform feature selection. Feature selection is done by identifying the most informative features and not using features that do not directly contribute to the target feature. The purpose of fea…
View article: Logistic Regression's Effectiveness in Feature Selection with Information Gain in Predicting Heart Failure Patients
Logistic Regression's Effectiveness in Feature Selection with Information Gain in Predicting Heart Failure Patients Open
Heart failure is a chronic illness that obstructs blood flow, which is necessary for the body to circulate oxygen. Patients with heart failure have a poor chance of survival, as evidenced by the high death rate. The hospital's infrastructu…
View article: A Comparative Study on the Impact of Feature Selection and Dataset Resampling on the Performance of the K-Nearest Neighbors (KNN) Classification Algorithm
A Comparative Study on the Impact of Feature Selection and Dataset Resampling on the Performance of the K-Nearest Neighbors (KNN) Classification Algorithm Open
This study aims to evaluate the impact of dataset balancing and feature selection on the performance of the K-Nearest Neighbors (KNN) classification algorithm. The primary objective is to determine the effect of different training data bal…