As shown in above two pic, the requirement of this competition （TensorFlow Speech Recognition Challenge）is to predict 12 classes. Those not belonging to the top 11 are all classified as 'unknown'. However, from the evaluation of mle-bench, it can be seen that the GT during the test was not mapped, resulting in very low and abnormal test results. Here, either the private test file needs to be modified or category mapping needs to be done. May I ask if this is a problem with mle-bench or kaggle? How should it be corrected?
As shown in above two pic, the requirement of this competition （TensorFlow Speech Recognition Challenge）is to predict 12 classes. Those not belonging to the top 11 are all classified as 'unknown'. However, from the evaluation of mle-bench, it can be seen that the GT during the test was not mapped, resulting in very low and abnormal test results. Here, either the private test file needs to be modified or category mapping needs to be done. May I ask if this is a problem with mle-bench or kaggle? How should it be corrected?