Update README.md

README.md

@@ -47,7 +47,7 @@ probs = infer(input_texts)
 
 The following table shows the results for each class on the validation data (n=150) of [CT-RATE-JPN](https://huggingface.co/datasets/YYama0/CT-RATE-JPN). For metrics requiring binarization, a threshold of 0.5 was used.
 
-|    | Disease                            |   Positive_Samples |   Accuracy |   Precision |   Recall |    F1 |   AUC-ROC |    AP |
+|    | Finding                            |   Positive_Samples |   Accuracy |   Precision |   Recall |    F1 |   AUC-ROC |    AP |
 |---:|:-----------------------------------|-------------------:|-----------:|------------:|---------:|------:|----------:|------:|
 |  0 | Medical material                   |                 14 |      0.973 |       0.778 |    1     | 0.875 |     0.999 | 0.99  |
 |  1 | Arterial wall calcification        |                 49 |      0.987 |       0.961 |    1     | 0.98  |     1     | 1     |