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基于原子交换协议路由发现算法节点覆盖率的交易成功率预测模型怎么建立 To establish a transaction success rate prediction model based on node coverage in atomic swap routing discovery, gather data on node connectivity, network topology, and past transaction results. Define node coverage metrics like the number of accessible nodes and path diversity. Use machine learning algorithms, such as random forests or neural networks, to train the model. Incorporate features like node reliability and latency to enhance prediction accuracy. Validate the model using cross-validation techniques.

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