Update README.md

README.md

@@ -6,6 +6,15 @@ metrics:
 pipeline_tag: text-classification
 datasets:
 - 19kmunz/iot-23-preprocessed-minimumcolumns
+widget:
+- text: "8081 tcp S0 2 80 0"
+  example_title: "malicious, label_1"
+- text: "37215 tcp S0 2 80 0"
+  example_title: "malicious, label_1"
+- text: "67 udp S0 11 3608 0"
+  example_title: "Benign, label_0"
+- text: "0 icmp OTH 9 844 0"
+  example_title: "Benign, label_0"
 ---
 ## introduction
 This is an undergraduate course project in computer security.
@@ -55,14 +64,3 @@ 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.
-
-
-widget:
-- text: "8081 tcp S0 2 80 0"
-  example_title: "malicious, label_1"
-- text: "37215 tcp S0 2 80 0"
-  example_title: "malicious, label_1"
-- text: "67 udp S0 11 3608 0"
-  example_title: "Benign, label_0"
-- text: "0 icmp OTH 9 844 0"
-  example_title: "Benign, label_0"