Search Results - performance prediction framework
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A hybrid feature selection framework for predicting students performance
Published 2021“…In this paper, a hybrid feature selection framework (using feature-fusion) is designed to identify the significant features and associated features with target class, to predict the performance of students. …”
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A predictive analytics framework using grey-lasso model for hospital readmission / Nor Hamizah Miswan
Published 2022“…To this end, this work focuses on enhancing the prediction performance as well as provide interpretability insight on the predicted output of modelling. …”
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Software defect prediction framework based on hybrid metaheuristic optimization methods
Published 2015“…GAFS+B and PSOFS+B also outperformed the existing software defect prediction frameworks in most datasets. Based on the conducted experiments, logistic regression performs best in most of the NASA MDP datasets, without or with feature selection method. …”
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Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…Machine learning results showed strong performance, with Random Tree and PART delivering the most reliable predictions. …”
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Prediction of device performance in SnO2 based inverted organic solar cells using machine learning framework
Published 2024“…In this project, the machine learning (ML) framework with different algorithm models and kernel functions was employed to predict the device performance of solution-processed SnO2-based organic solar cells. …”
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Predictive Framework for Imbalance Dataset
Published 2012“…The purpose of this research is to seek and propose a new predictive maintenance framework which can be used to generate a prediction model for deterioration of process materials. …”
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Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability
Published 2025“…The integrated approach enhances predictive accuracy, supporting well-informed decision-making in power systems through data-driven frameworks. …”
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Factors predicting learning performance in flipped classroom: A survey study based on RCoI framework
Published 2025“…While previous studies have focused on the factors affecting flipped learning performance, few have examined these factors through the lens of the Community of Inquiry framework. …”
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Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…This work involves the investigation of the performance of different classifiers (established/combinations/new prediction methods) that are used in stock market prediction. …”
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A Framework For Students’ Academic Performance Analysis Using Naïve Bayes Classifier
Published 2015“…This paper proposed a framework to predict the performance of first year bachelor students in Computer Science course. …”
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A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models
Published 2023“…Machine learning algorithm's performance demotes with using the entire attributes and thus a vigilant selection of predicting attributes boosts the performance of the produced model. …”
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Prediction of Jakarta's Air Quality Using a Stacking Framework of CLSTM, CatBoost, SVR, and XGBoost
Published 2024“…Thus, this stacking framework has proven to significantly enhance air quality prediction performance, particularly in predicting PM10 concentrations in Jakarta.…”
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A framework for predicting employee health risks using Ensemble Model
Published 2021“…As opposed to a single predictive model, an ensemble predictive model would yield better performance and accuracy. …”
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An intelligent crisis-mapping framework for flood prediction
Published 2019“…This paper proposes a new framework for crisis-mapping with flood prediction model based on the crowdsourcing data. …”
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Water Level Prediction of Riam Kanan Dam Using ConvLSTM, BPNN, Gradient Boosting, and XGBoosting Stacking Framework (CLBGXGBoostS)
Published 2024“…The study aims to evaluate the performance of the CLBGXGBoostS stacking framework in predicting the water level of the Riam Kanan Dam using 5 years of historical data. …”
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Selecting Machine Learning Models for Student Performance Prediction Aligned with Pedagogical Objectives
Published 2024“…The selection of appropriate prediction models is yet a challenging task. This paper proposes a novel framework that applies a set of machine learning classifiers over the training dataset of a course. …”
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