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classification_report.json

@@ -1,20 +1,20 @@
 {
   "0": {
-    "precision": 0.8636363636363636,
-    "recall": 0.95,
-    "f1-score": 0.9047619047619048,
+    "precision": 0.9,
+    "recall": 0.9,
+    "f1-score": 0.9,
     "support": 20.0
   },
   "1": {
-    "precision": 0.8333333333333334,
+    "precision": 0.75,
     "recall": 0.75,
-    "f1-score": 0.7894736842105263,
+    "f1-score": 0.75,
     "support": 20.0
   },
   "2": {
-    "precision": 0.8333333333333334,
-    "recall": 1.0,
-    "f1-score": 0.9090909090909091,
+    "precision": 0.7916666666666666,
+    "recall": 0.95,
+    "f1-score": 0.8636363636363636,
     "support": 20.0
   },
   "3": {
@@ -29,17 +29,17 @@
     "f1-score": 1.0,
     "support": 20.0
   },
-  "accuracy": 0.9,
+  "accuracy": 0.88,
   "macro avg": {
-    "precision": 0.906060606060606,
-    "recall": 0.9,
-    "f1-score": 0.8984430773904458,
+    "precision": 0.8883333333333333,
+    "recall": 0.8799999999999999,
+    "f1-score": 0.8805050505050506,
     "support": 100.0
   },
   "weighted avg": {
-    "precision": 0.9060606060606061,
-    "recall": 0.9,
-    "f1-score": 0.8984430773904458,
+    "precision": 0.8883333333333333,
+    "recall": 0.88,
+    "f1-score": 0.8805050505050506,
     "support": 100.0
   }
 }