diff --git a/code/expt/bgt_cmp_hue.py b/code/expt/bgt_cmp_hue.py
index 63714d2..42936e2 100644
--- a/code/expt/bgt_cmp_hue.py
+++ b/code/expt/bgt_cmp_hue.py
@@ -18,14 +18,12 @@ def main(args):
   res_file = '/home/manos/Cloud/Data/HUE/Results.zip'
   # User's consumption
   seq = lmdk_lib.load_data(args, 'cons')
-  # Contacts for landmark's percentages for all users
-  lmdk_data = lmdk_lib.load_data(args, 'usrs_expt')
   # The name of the dataset
   d = 'HUE'
   # The landmarks percentages
   lmdks_pct = [0, 20, 40, 60, 80, 100]
   # Landmarks' thresholds
-  lmdks_th = [10.0, .3, .23, .15, .13, 0]
+  lmdks_th = [0, .13, .15, .23, .3, 10]
   # The privacy budget
   epsilon = 1.0
 
@@ -48,7 +46,7 @@ def main(args):
   # The y axis
   plt.ylabel('Mean absolute error')  # Set y axis label.
   # plt.yscale('log')
-  plt.ylim(0, 1.4)
+  plt.ylim(1, 7000)
   # Bar offset
   x_offset = -(bar_width/2)*(n - 1)
 
@@ -60,33 +58,33 @@ def main(args):
 
   for i, pct in enumerate(lmdks_pct):
     # Find landmarks
-    lmdks = lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, pct)
+    lmdks = seq[seq[:, 1] < lmdks_th[i]]
 
     for _ in range(args.iter):
       # Skip
-      rls_data_s, bgts_s = lmdk_bgt.skip_cont(seq, lmdks, epsilon)
+      rls_data_s, bgts_s = lmdk_bgt.skip_cons(seq, lmdks, epsilon)
       # lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_s)
-      mae_s[i] += lmdk_bgt.mae_cont(rls_data_s)/args.iter
+      mae_s[i] += lmdk_bgt.mae_cons(seq, rls_data_s)/args.iter
 
       # Uniform
-      rls_data_u, bgts_u = lmdk_bgt.uniform_cont(seq, lmdks, epsilon)
+      rls_data_u, bgts_u = lmdk_bgt.uniform_cons(seq, lmdks, epsilon)
       # lmdk_bgt.validate_bgts(seq, lmdks, epsilon, bgts_u)
-      mae_u[i] += lmdk_bgt.mae_cont(rls_data_u)/args.iter
+      mae_u[i] += lmdk_bgt.mae_cons(seq, rls_data_u)/args.iter
 
-      # Adaptive
-      rls_data_a, _, _ = lmdk_bgt.adaptive_cont(seq, lmdks, epsilon, .5, .5)
-      mae_a[i] += lmdk_bgt.mae_cont(rls_data_a)/args.iter
+      # # Adaptive
+      rls_data_a, _, _ = lmdk_bgt.adaptive_cons(seq, lmdks, epsilon, .5, .5)
+      mae_a[i] += lmdk_bgt.mae_cons(seq, rls_data_a)/args.iter
 
       # Event
       # Calculate once
       if i == 0:
-        rls_data_evt, _ = lmdk_bgt.uniform_cont(seq, lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, 0), epsilon)
-      mae_evt[i] += lmdk_bgt.mae_cont(rls_data_evt)/args.iter
+        rls_data_evt, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[0]], epsilon)
+      mae_evt[i] += lmdk_bgt.mae_cons(seq, rls_data_evt)/args.iter
       # User
       # Calculate once
       if i == 0:
-        rls_data_usr, _ = lmdk_bgt.uniform_cont(seq, lmdk_lib.find_lmdks_cont(lmdk_data, seq, uid, 100), epsilon)
-      mae_usr[i] += lmdk_bgt.mae_cont(rls_data_usr)/args.iter
+        rls_data_usr, _ = lmdk_bgt.uniform_cons(seq, seq[seq[:, 1] < lmdks_th[len(lmdks_th)-1]], epsilon)
+      mae_usr[i] += lmdk_bgt.mae_cons(seq, rls_data_usr)/args.iter
 
   plt.plot(
     x_i,
@@ -130,7 +128,7 @@ def main(args):
   path = str('../../rslt/bgt_cmp/' + d)
   # Plot legend
   lmdk_lib.plot_legend()
-  # # Show plot
+  # Show plot
   # plt.show()
   # Save plot
   lmdk_lib.save_plot(path + '.pdf')