悄悄移动
发表于 2025-3-26 22:50:23
Data Preprocessing and Finding Optimal Value of , for KNN Model,eprocessing the data is done by removing the irrelevant attributes present in the dataset using correlation matrix, and suitable value of . is chosen for KNN algorithm which helps in improving the performance of KNN model.
Gnrh670
发表于 2025-3-27 01:08:26
Crime Analysis Using Machine Learning,finding which model has best accuracy and performance of all the models. It is shown that Linear SVC has achieved the best results of all the models considered. The inclusion of these methodologies to the investigation broadens the search and lessens the risks for the cops.
Cirrhosis
发表于 2025-3-27 06:35:27
2194-5357 s such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues..978-981-16-7087-9978-981-16-7088-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
Harpoon
发表于 2025-3-27 12:18:16
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团结
发表于 2025-3-27 16:08:21
A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News,neate the aspects of the implemented solution. This approach aims to detect the bots that spread false news as well as track and trace fake information in the form of text. The solution involves text analysis to identify the characteristics of fake news and employs Natural Language Processing and Machine Learning techniques for the same.
adj忧郁的
发表于 2025-3-27 19:09:50
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相信
发表于 2025-3-28 01:51:37
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认识
发表于 2025-3-28 05:36:46
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PON
发表于 2025-3-28 08:01:54
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stratum-corneum
发表于 2025-3-28 11:58:12
Performance Analysis of Flower Pollination Algorithms Using Statistical Methods: An Overview,variants and the insights gained in the context of each one of them, along with an overview of the statistical methods that have been used so far in carrying out the performance analysis of the same. The insights listed herein also point toward further research that can be possibly conducted in this context.