Abstract: This paper focuses on the comparison of dimensionality reduction effect between LightGBM and XGBoost-FA. With respect to XGBoost, LightGBM can be built in the effect of dimensionality ...
从数据科学视角看,房地产房价预测绝非简单的数值推算,而是对 “业务场景 - 数据质量 - 模型适配” 三者协同的系统性考验。在房地产行业数字化转型中,精准的房价预测既能帮助购房者规避决策风险,也能为开发商的定价策略、投资者的资源配置提供数据 ...
Abstract: Credit card fraud (CCF) is a significant threat to cardholders and financial institutions. CCF detection against this threat is challenging due to extremely imbalanced data (EID). EID ...
在金融科技的浪潮中,量化投资方法以其数据驱动和模型导向的特性,日益成为资本市场分析的重要工具。 特别是,长短期记忆网络(LSTM)、Wavenet以及LightGBM等先进的机器学习算法,因其在时间序列预测中的卓越性能,被广泛应用于股票价格预测领域。LSTM作为 ...
Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...
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