Update app.py

app.py

@@ -137,7 +137,7 @@ def visualize_ROC(set_threshold,set_input):
   m1, c1 = 1, 0
   x = np.linspace(0, 1, 500)
 
-  plt.plot(fpr_mod, tpr_mod, label = 'ROC', c='black', linestyle='-')
+  plt.plot(fpr_mod, tpr_mod, label = 'ROC', c='blue', linestyle='-')
 
   plt.plot(x, x * m1 + c1, 'black', linestyle='--')
   plt.xlim(0, 1)
@@ -281,7 +281,7 @@ def get_example():
   np.random.seed(seed = 42)
 
   N=100
-  pd_class1 = pd.DataFrame({'Sample Index': [i for i in range(1,int(N/4)+1)],'Predicted Prob': np.random.uniform(0.4,1,int(N/4)), 'Label (Y)': np.repeat(1,int(N/4))})
+  pd_class1 = pd.DataFrame({'Sample Index': [i for i in range(1,int(N/4)+1)],'Predicted Prob': np.random.uniform(0.2,0.8,int(N/4)), 'Label (Y)': np.repeat(1,int(N/4))})
   pd_class2 = pd.DataFrame({'Sample Index': [i for i in range(int(N/4)+1,N+1)],'Predicted Prob': np.random.uniform(0,0.7,int(3*N/4)), 'Label (Y)': np.repeat(0,int(3*N/4))})