diff --git a/main.py b/main.py
index eea36ed..80afcdc 100644
--- a/main.py
+++ b/main.py
@@ -9,7 +9,7 @@ def print_train_outcome(outcome, init_ep = 0):
     print("train;{init_ep};{count};{sum};{mean}".format(**format_vars))
 
 def print_eval_outcomes(outcomes, init_ep = 0):
-    for outcome in eval_outcomes:
+    for outcome in outcomes:
             scores = outcome[1]
             format_vars = { 'init_ep': init_ep,
                             'method': outcome[0],
diff --git a/plot.py b/plot.py
index f0eefbb..f40f06e 100644
--- a/plot.py
+++ b/plot.py
@@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
 import matplotlib.ticker as mtick
 import matplotlib.dates as mdates
 from matplotlib.backends.backend_pdf import PdfPages
-headers = ['Phase', 'Method', 'Total episodes', 'Episodes', 'Sum', 'Mean']
+headers = ['Phase', 'Method', 'Start episodes', 'Episodes', 'Sum', 'Mean']
 
 fig, ax = plt.subplots(1, 1)
 
@@ -24,11 +24,13 @@ plt.show()
 while True:
     #df = pd.read_csv(sys.stdin, sep=";", names=headers)
     df = pd.read_csv('log', sep=";", names=headers)
+    df['Total episodes'] = df['Start episodes'] + 100
 
+    print(df)
+    
     x = df['Total episodes']
     y = df['Mean']
     
     plt.scatter(x, y, c=[[1,0.5,0]])
-    print("draw")
     #fig.canvas.draw()
     plt.pause(2)