.

plotFscore.py

         if col==0:
             axes[row][col].set_ylabel("FScore")
         if row==1:
-            axes[row][col].set_xlabel("Threshold Factor ($TF$)")
+            axes[row][col].set_xlabel("Threshold Factor ($tf$)")
         axes[row][col].grid()
         axes[row][col].set_title('$ns=$'+str(tsToPlot[ind]))
 axes[0][0].legend(loc='lower right')

v3.py

     for k in FS.keys():
         ar=np.array((FS[k]))
         axes.plot(ar[:,0],ar[:,1],label="$ns=$"+str(k),linewidth=3)
-    axes.set_xlabel("Threshold factor ($TF$)")
+    axes.set_xlabel("Threshold factor ($tf$)")
     axes.set_ylabel("FScore")
     axes.legend()
     axes.grid()
 anomalyMetric(threshold[int(options.timesteps)]*float(options.TF), int(options.timesteps),datalist)
 
 
-#plotData3()
+plotData3()
 
 
 def plotData5():