docs(predictV3): 添加predictV3算法优化研究文档和前端功能实现

- 完成Phase 11: predictV3算法优化研究文档，涵盖6个优化方向的技术分析
- 实现置信度评估功能，提供历史命中率、得分分布、多维度一致性置信度指标
- 扩展回测指标体系，新增NDCG@K、MRR、命中率分布等排名质量评估指标
- 优化转移概率算法，引入二阶马尔可夫链和多属性联合转移增强预测准确性
- 设计权重训练机制，支持网格搜索和遗传算法进行数据驱动的参数优化
- 集成组合特征挖掘功能，采用关联规则和序列模式发现号码间潜在关联
- 实现完整的前端交互界面，支持预测结果显示、置信度展示和回测验证功能
- 建立性能优化策略，包括预计算缓存、批量计算和降级策略保障响应速度

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