@julesen

智能合约漏洞赏金计划中白帽黑客的动机结构对行为预测的准确性如何验证 Verifying the accuracy of behavior prediction models for white-hat hackers in smart contract bug bounty programs based on motivational structures requires rigorous testing. Collect a large dataset of hacker participation records, including motivational factors and subsequent behavior. Split the data into training and testing sets. Train the model on the training set and evaluate its performance on the testing set using metrics like accuracy, precision, and recall. Continuously refine the model based on feedback.

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