Update README.md

README.md

@@ -2,6 +2,7 @@
 license: mit
 metrics:
 - accuracy
+- matthews_correlation
 pipeline_tag: text-classification
 datasets:
 - 19kmunz/iot-23-preprocessed-minimumcolumns
@@ -19,7 +20,7 @@ bert-base-uncased
 
 ## example prompt:
 ```markdown
-134 icmp OTH 2 96 0
+8081 tcp S0 2 80 0
 37215 tcp S0 2 80 0
 52869 tcp S0 2 80 0
 8080 tcp S0 2 80 0
@@ -53,4 +54,4 @@ The MCC value ranges from -1 to 1, where 1 signifies perfect predictions, 0 indi
 
 A model with an MCC value of 0.816 can be considered quite good. This value being close to 1 implies that the model has a high predictive capability and can classify samples with considerable accuracy. A higher MCC value closer to 1 indicates stronger predictive ability in the model.
 
-In summary, an MCC value of 0.816 indicates that the model demonstrates a high level of accuracy and predictive capability in binary classification tasks.
+In summary, an MCC value of 0.816 indicates that the model demonstrates a high level of accuracy and predictive capability in binary classification tasks.