Update file README.md

Container_Specification/README.md

@@ -342,7 +342,7 @@ When the Pipeline is started, the initial logs indicated in 2. are captured, all
 
 A sample representation of the metrics logs for the news_training pipeline is as follows,
 
-`INFO:root:{'metrics': {'date_time': '2023-09-15 08:17:22', 'type': 'classification-metrics/v1', 'accuracy': 0.9247897267341614, 'validation_loss': 0.9067514538764954, 'status_text': 'success'}}`
+`INFO:root:{'metrics': {'date_time': '2023-09-15 08:17:22', 'type': 'classification-metrics/v1', 'more-is-better': {'accuracy': 0.9247897267341614}, 'less-is-better': {'validation_loss': 0.9067514538764954}, 'status_text': 'success'}}`
 
 A sample representation of the output in the metadata file is as shown below,
 
@@ -368,8 +368,12 @@ A sample representation of the output in the metadata file is as shown below,
             "metrics": {
                 "date_time": "2023-09-12 06:00:09",
                 "type": "classification-metrics/v1",
-                "accuracy": 0.9239237904548645,
-                "validation_loss": 0.9049152731895447,
+                "more_is_better": {
+                    "accuracy": 0.9239237904548645
+                },
+                "less_is_better": {
+                    "validation_loss": 0.9049152731895447
+                }
                 "status_text": "success"
             }
         }
@@ -414,9 +418,13 @@ A sample:
 ```json
     "metrics": {
             "date_time": "2023-09-15 08:17:22", 
-            "type": "classification-metrics/v1", 
-            "accuracy": 0.9247897267341614, 
-            "validation_loss": 0.9067514538764954, 
+            "type": "classification-metrics/v1",
+            "more_is_better": { 
+                "accuracy": 0.9247897267341614
+            },
+            "less_is_better": { 
+                "validation_loss": 0.9067514538764954
+            } 
             "status_text": "success"
             }
 ```
@@ -467,11 +475,15 @@ A sample:
 ```json
   "metrics": {
                 "date_time": "2023-09-28 13:56:21",
-                "type": "regression-metrics/v1", 
-                "mse": 0.0025680503998073007,
-                "rmse": 0.05067593511527242,
-                "r_squared": 0.831178119365146,
-                "adjusted_r_squared": 0.8270170166734419,
+                "type": "regression-metrics/v1",
+                "less_is_better": {
+                    "mse": 0.0025680503998073007,
+                    "rmse": 0.05067593511527242
+                },
+                "more_is_better": {
+                    "r_squared": 0.831178119365146,
+                    "adjusted_r_squared": 0.8270170166734419
+                }
                 "status_text": "success"
             }
 ```
@@ -550,18 +562,24 @@ A sample extension of the metadata for the metrics into training and testing pha
         {
             "type": "classification-training-metrics/v1",
             "date_time": "2023-09-07 07:28:51",
-            "training_accuracy": 0.9257,
-            "training_loss": 0.3606,
-            "validation_accuracy": 0.8051,
-            "validation_loss": 0.8978,
+            "more_is_better": {
+                "training_accuracy": 0.9257,
+                "validation_accuracy": 0.8051
+            },
+            "less_is_better": {
+                "training_loss": 0.3606,
+                "validation_loss": 0.8978
+            },
             "status_text": "success"
         },
         {
             "type": "classification-testing-metrics/v1",
             "date_time": "2023-09-07 07:28:51",
-            "F1 Score": 0.8512,
-            "Specificity": 0.9036,
-            "ROC-AUC": 0.9205,
+            "more_is_better": {
+                "F1 Score": 0.8512,
+                "Specificity": 0.9036,
+                "ROC-AUC": 0.9205
+            }
             "status_text": "success"
         }
     ]