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Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques
Published 2024-01-01“…It includes the analysis of different algorithms such as Decision Tree, Logistic Regression, Support Vector Machine, Random Forest and hybrid models. This results in SVM and RM performing better after applying feature selection for individual ML models. …”
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A New Approach to Improve Accuracy of Grey Model GMC(1,n) in Time Series Prediction
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Machine Learning-Based Model in Predicting the Plate-End Debonding of FRP-Strengthened RC Beams in Flexure
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A Hybrid Model for Predicting Steering Brake Squeal Based on Multibody Dynamics and Finite Element Methods
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Gear Contact Fatigue Life Prediction based on Multifractal Spectrum and Grey Model GM(1,1)
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LOW-CYCLE FATIGUE LIFE PREDICTION FOR 316 L STAINLESS STEEL USING STRAIN-BASED MODEL
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A Novel Hybrid Deep Learning Model for Complex Systems: A Case of Train Delay Prediction
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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis
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Improved Deflection Prediction Model for PSC Box Girder with Stay Cable System during Tensioning Phase
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