1 回答
- 最新
- 投票最多
- 评论最多
0
Hello,
Yes, this is expected behavior due to multiple factors. One major contributor could be changes in the threshold value. The Custom Labels feature implements custom logic to compute optimal thresholds for each training iteration, hence variations are reflected in the Precision and Recall calculations. Further details can be found in the summary file, which contains the threshold values computed per training run.
Reference can be found here
已回答 2 个月前
相关内容
- AWS 官方已更新 2 年前