Update README.md

README.md

@@ -100,11 +100,9 @@ requirements:
 ---
 
 
-**Evaluation Results**
-
-*Classification Report*
-
-          precision  recall  f1-score  support
+Evaluation Results
+Classification Report
+precision  recall  f1-score  support
 
 High           0.31   0.43   0.36   1609
 Low            0.40   0.32   0.36   2599
@@ -114,11 +112,11 @@ Very_High      0.36   0.54   0.43   1438
 Very_Low       0.80   0.69   0.74   8448
 Water          0.67   0.93   0.78    584
 
-accuracy                     0.63   21541
+accuracy                0.63   21541
 macro avg      0.51   0.57   0.53   21541
 weighted avg   0.64   0.63   0.63   21541
 
-*Confusion Matrix*
+Confusion Matrix
 [[ 686   74  221   54  451  107   16]
  [ 317  842  302   76  296  733   33]
  [ 578  202  276   58  402  237   19]
@@ -127,25 +125,25 @@ weighted avg   0.64   0.63   0.63   21541
  [ 282  877  329  786  213 5829  132]
  [   7    7    1    8    2   15  544]]
 
-**Notes**
+Notes
 
--Overall accuracy: 0.63 or 63%
+Overall accuracy: 0.63
 
-**Best performing classes:**
+Best performing classes:
 
--Non-burnable (F1: 0.85)
+Non-burnable (F1: 0.85)
 
--Very_Low (F1: 0.74)
+Very_Low (F1: 0.74)
 
--Water (F1: 0.78)
+Water (F1: 0.78)
 
-**Weaker performance on:**
+Weaker performance on:
 
--Moderate
+Moderate
 
--High
+High
 
--Low
+Low
 
 **DISCLOSURES**
 -Model was developed with assistance from Github Copilot Only for the augmentation techniques. (MIXUP, CUTMIX)