Update README.md

README.md

@@ -2,4 +2,39 @@
 license: apache-2.0
 datasets:
 - yunusserhat/TurkishFoods-25
----
+---
+
+```py
+Classification Report:
+                precision    recall  f1-score   support
+
+         asure     0.9718    0.9503    0.9609       181
+       baklava     0.9589    0.9292    0.9438       452
+ biber_dolmasi     0.9505    0.9555    0.9530       382
+         borek     0.8770    0.8842    0.8806       613
+     cig_kofte     0.9051    0.9358    0.9202       265
+       enginar     0.9116    0.8753    0.8931       377
+       et_sote     0.7870    0.7688    0.7778       346
+       gozleme     0.9220    0.9420    0.9319       414
+         hamsi     0.9724    0.9763    0.9744       253
+hunkar_begendi     0.9583    0.9274    0.9426       248
+    icli_kofte     0.9261    0.9353    0.9307       402
+       ispanak     0.9567    0.9343    0.9454       213
+   izmir_kofte     0.8763    0.9239    0.8995       368
+    karniyarik     0.9538    0.8934    0.9226       347
+         kebap     0.9154    0.8584    0.8860       706
+         kisir     0.8919    0.9356    0.9132       388
+  kuru_fasulye     0.8799    0.9820    0.9281       388
+      lahmacun     0.9699    0.8703    0.9174       185
+         lokum     0.9220    0.9369    0.9294       555
+         manti     0.9569    0.9482    0.9525       328
+        mucver     0.8743    0.9201    0.8966       363
+ pirinc_pilavi     0.9110    0.9482    0.9292       367
+         simit     0.9629    0.9284    0.9453       391
+  taze_fasulye     0.8992    0.9253    0.9121       241
+  yaprak_sarma     0.9742    0.9544    0.9642       395
+
+      accuracy                         0.9186      9168
+     macro avg     0.9234    0.9216    0.9220      9168
+  weighted avg     0.9194    0.9186    0.9186      9168
+```