Update metric_for_tp_fp_samples.py

metric_for_tp_fp_samples.py

@@ -223,9 +223,11 @@ class metric_tp_fp_Datasets(evaluate.Metric):
 						if j[0] in i:
 							TP_data.loc[TP_data["class"] == j[0], "coincidence count"] += 1
 							TP_data = TP_data.sort_values(by=["class"], ignore_index  = True)
-						elif FPifWrong:
-							FP_data.loc[FP_data["class"] == j[0], "coincidence count"] += 1
-							FP_data = FP_data.sort_values(by=["class"], ignore_index  = True)
+                        else:
+							if FPifWrong:
+								for k in i:	
+ 									FP_data.loc[FP_data["class"] == k, "coincidence count"] += 1
+									FP_data = FP_data.sort_values(by=["class"], ignore_index  = True)
 				if j[1] == 2:
 					FP_data.loc[FP_data["class"] == j[0], "number of samples"] += 1
 					if len(i) >> 0: