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classification_report.json

@@ -1,26 +1,26 @@
 {
   "0": {
-    "precision": 0.8235294117647058,
-    "recall": 0.7,
-    "f1-score": 0.7567567567567568,
+    "precision": 0.8636363636363636,
+    "recall": 0.95,
+    "f1-score": 0.9047619047619048,
     "support": 20.0
   },
   "1": {
-    "precision": 0.6,
+    "precision": 0.8333333333333334,
     "recall": 0.75,
-    "f1-score": 0.6666666666666666,
+    "f1-score": 0.7894736842105263,
     "support": 20.0
   },
   "2": {
-    "precision": 0.7391304347826086,
-    "recall": 0.85,
-    "f1-score": 0.7906976744186046,
+    "precision": 0.8333333333333334,
+    "recall": 1.0,
+    "f1-score": 0.9090909090909091,
     "support": 20.0
   },
   "3": {
     "precision": 1.0,
-    "recall": 0.75,
-    "f1-score": 0.8571428571428571,
+    "recall": 0.8,
+    "f1-score": 0.8888888888888888,
     "support": 20.0
   },
   "4": {
@@ -29,17 +29,17 @@
     "f1-score": 1.0,
     "support": 20.0
   },
-  "accuracy": 0.81,
+  "accuracy": 0.9,
   "macro avg": {
-    "precision": 0.8325319693094629,
-    "recall": 0.8099999999999999,
-    "f1-score": 0.8142527909969772,
+    "precision": 0.906060606060606,
+    "recall": 0.9,
+    "f1-score": 0.8984430773904458,
     "support": 100.0
   },
   "weighted avg": {
-    "precision": 0.8325319693094628,
-    "recall": 0.81,
-    "f1-score": 0.814252790996977,
+    "precision": 0.9060606060606061,
+    "recall": 0.9,
+    "f1-score": 0.8984430773904458,
     "support": 100.0
   }
 }