--- a
+++ b/src/ovr/mlmodel_result.py
@@ -0,0 +1,10 @@
+from sklearn.metrics import accuracy_score, hamming_loss
+from sklearn.metrics import f1_score
+from sklearn.metrics import recall_score,precision_score
+
+def mlmodel_result(y_test, y_predicted):
+    print("Accuracy Score: ",accuracy_score(y_test, y_predicted))
+    print("Hamming loss:", hamming_loss(y_test, y_predicted))
+    print("Precision: ",precision_score(y_test, y_predicted,average='micro'))
+    print("Recall: ", recall_score(y_test, y_predicted,average='micro'))
+    print("F1_score:", f1_score(y_test, y_predicted,average='micro'))
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