no changes

cnn2.py

@@ -379,11 +379,6 @@ class CNN_Antifrag:
             y_test = encode(y_test)
             y_test = encode(y_test)
             y_pred = encode(y_pred)
             y_pred = encode(y_pred)
 
 
-            # calculate area under the curve
-            fpr, tpr, auc = ra.roc_auc(N, y_test, y_pred)
-            total_auc += auc
-            print("Area under the curve:", auc)
-
             # confusion matrix
             # confusion matrix
             if i == 0:
             if i == 0:
                 cm = confusion_matrix(
                 cm = confusion_matrix(
@@ -398,6 +393,11 @@ class CNN_Antifrag:
             precs_k.append(precision)
             precs_k.append(precision)
             avgs_k.append(average_prec)
             avgs_k.append(average_prec)
 
 
+            #auc 
+            fpr, tpr, auc = ra.roc_auc(N, y_test, y_pred)
+            # calculate area under the curve
+            total_auc += auc
+            print("Area under the curve:", auc)
 
 
         total_acc = total_acc/K
         total_acc = total_acc/K
         total_auc = total_auc/K
         total_auc = total_auc/K
@@ -406,4 +406,4 @@ class CNN_Antifrag:
         print("Average accuracy: ", total_acc)
         print("Average accuracy: ", total_acc)
         print("Average area under the curve: ", total_auc)
         print("Average area under the curve: ", total_auc)
 
 
-        return total_acc, total_auc, cm, pr
+        return total_acc, total_auc, cm, pr, roc