Update app.py

app.py

@@ -189,7 +189,7 @@ output_y4 = (
 #Define predict for y1.
 def bootstrap_ci(data, model, alpha=0.05):
     """Compute bootstrap confidence intervals"""
-    bootstrapped_probs = [model.predict_proba(resample(data))[0][1] for _ in range(1000)]
+    bootstrapped_probs = [model.predict_proba(resample(data))[0][1] for _ in range(100)]
     lower = np.percentile(bootstrapped_probs, 100*(alpha/2.0))
     upper = np.percentile(bootstrapped_probs, 100*(1-alpha/2.0))
     return lower, upper