Titlebook: Intelligent Computing for Sustainable Development; First International S. Satheeskumaran,Yudong Zhang,Danilo Pelusi Conference proceedings

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An Improved Filter Based Feature Selection Model for Kidney Disease Prediction,ding accuracy, precision and recall, are employed to evaluate WCR performance. The classification accuracy on MULTISurf, Relief-F, and Relief has been investigated using four classifiers, including SVM, KNN, Random Forest, and Naive Bayes. The outcome demonstrates that the suggested attribute select

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Clinch

富饶

,Parkinson’s Disease Progression: Comparative Analysis of ML Models and Embedded Algorithm,dvantages of both approaches, is a creative strategy that highlights the originality of the study. Employing specific hyperparameters, various ML models, such as Neural Networks, Gradient Boosting, and Random Forest, are deployed and optimized. The outcomes are startling. With outstanding results fo

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System Evaluation of Team and Winner Prediction in One Day International Matches with Scenario Basen. Our extermination has performed team and winner prediction based on the scenario-based questionnaire. The questionnaire has been prepared and shared with the people for results and team prediction. People’s opinions are compared with the actual outcome of that match and the player selected. The m

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Dedication

巧思

Deadpan

978-3-031-61286-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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