Update README.md

README.md

@@ -56,31 +56,31 @@ More information on how the model was trained can be found here: https://github.
 # Model Performance
 ```
 Test Performance:
-Precision: 0.97043
-Recall: 0.96966
-F1: 0.96921
+Precision: 0.96778
+Recall: 0.96696
+F1: 0.9668
 
                      precision    recall  f1-score   support
 
-      CC Expiration      1.000     0.875     0.933        16
-CC Expiration Month      1.000     0.972     0.986        36
- CC Expiration Year      0.973     0.973     0.973        37
-            CC Name      1.000     0.968     0.984        31
+      CC Expiration      1.000     0.750     0.857        16
+CC Expiration Month      0.972     0.972     0.972        36
+ CC Expiration Year      0.946     0.946     0.946        37
+            CC Name      0.882     0.968     0.923        31
           CC Number      0.942     0.980     0.961        50
-    CC Payment Type      0.934     0.760     0.838        75
-   CC Security Code      0.929     0.951     0.940        41
-            CC Type      0.857     0.857     0.857        14
-   Confirm Password      1.000     0.860     0.925        57
-              Email      0.972     0.945     0.958        73
-         First Name      0.833     1.000     0.909         5
-               Form      0.950     0.974     0.962        39
-          Last Name      0.833     1.000     0.909         5
-       New Password      0.915     1.000     0.956        97
-              Other      0.981     0.989     0.985      1235
-              Phone      0.600     1.000     0.750         3
-           Zip Code      0.939     0.969     0.954        32
+    CC Payment Type      0.918     0.893     0.905        75
+   CC Security Code      0.950     0.927     0.938        41
+            CC Type      0.917     0.786     0.846        14
+   Confirm Password      0.961     0.860     0.907        57
+              Email      0.909     0.959     0.933        73
+         First Name      0.800     0.800     0.800         5
+               Form      0.974     0.974     0.974        39
+          Last Name      0.714     1.000     0.833         5
+       New Password      0.913     0.979     0.945        97
+              Other      0.986     0.983     0.985      1235
+              Phone      1.000     0.667     0.800         3
+           Zip Code      0.912     0.969     0.939        32
 
-           accuracy                          0.970      1846
-          macro avg      0.921     0.945     0.928      1846
-       weighted avg      0.970     0.970     0.969      1846
+           accuracy                          0.967      1846
+          macro avg      0.923     0.907     0.910      1846
+       weighted avg      0.968     0.967     0.967      1846
 ```