XGboost
Crowdfunding campaigns frequently fail to reach their funding goals, posing a significant challenge for project creators. To address this issue and empower future crowdfunding stakeholders, accurate prediction models are essential. This study evaluates the relative significance of diverse modalities (visual, audio, and text) in predicting campaign success.
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The dataset is used in the paper entitled "A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost" as fuzzy rules extracted by XGboost
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The dataset is used in machine learning method of the "A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method" paper
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