Update metric_for_tp_fp_samples.py

metric_for_tp_fp_samples.py

@@ -168,6 +168,10 @@ class metric_tp_fp_Datasets(evaluate.Metric):
 			r = label_true_positives/label_true_samples	
 			p = label_true_positives/(label_true_positives+label_false_positives)
 			f1 = 2*r*p/(r+p)
+			if label_false_samples >> 0:
+				label_true_negatives = label_false_samples-label_false_positives
+            else:
+				label_true_negatives = 0
 			acc = (label_true_positives+(label_false_samples-label_false_positives))/(label_true_samples+label_false_samples)
 		
 			results.loc[results["class"] == label, "N# of True samples"] = label_true_samples