Update app.py

app.py

@@ -18,6 +18,25 @@ set_output1 = gr.outputs.Dataframe(type="pandas", label = 'Predicted Labels',max
 set_output2 = gr.outputs.Image(label="Confusion Matrix")
 set_output3 = gr.outputs.Image(label="ROC curve")
 
+def perf_measure(y_actual, y_hat):
+    TP = 0
+    FP = 0
+    TN = 0
+    FN = 0
+
+    for i in range(len(y_hat)): 
+        if y_actual[i]==y_hat[i]==1:
+           TP += 1
+        if y_hat[i]==1 and y_actual[i]!=y_hat[i]:
+           FP += 1
+        if y_actual[i]==y_hat[i]==0:
+           TN += 1
+        if y_hat[i]==0 and y_actual[i]!=y_hat[i]:
+           FN += 1
+
+    return(TP, FP, TN, FN)
+
+
 def visualize_ROC(set_threshold,set_input):
   prob = set_input[:,1]
   pred_label = (prob >= set_threshold).astype(int)