Unverified50% confidenceBenchmarkExact time
某团队通过四个月的技术攻坚，将一个金融分析基准测试的准确率从50%提升至92%，使编码智能体能够熟练处理电子表格
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
从50%到92%：让AI智能体精通电子表格的实战方法论
Related Claims
Unverified团队将一个金融分析基准测试的准确率从50%提升至92%77% similarUnverifiedWhen using Claude Code with the default Opus 4.7 model for investor information extraction tasks, accuracy is typically between 90% and 95%68% similarUnverifiedIn the same reproduction experiment, ResNet-20 achieved a test accuracy of 90.4% and ResNet-56 achieved a test accuracy of 91.7%, with training accuracies of 97.4% and 99.0% respectively.68% similarUnverifiedThe accuracy data in the test has an error margin of approximately ±8–10 percentage points at n=100 sample size (based on a 95% confidence-level binomial confidence interval).66% similarUnverified实验采用8:2比例划分数据，20%作为内部测试集，训练集内部使用5折交叉验证，并移除重复记录以避免数据泄漏66% similar
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