diff --git a/tikz/validation-curve/baseline_cifar_test_acc.csv b/tikz/validation-curve/baseline_cifar_test_acc.csv
index aefb641..06cd236 100644
--- a/tikz/validation-curve/baseline_cifar_test_acc.csv
+++ b/tikz/validation-curve/baseline_cifar_test_acc.csv
@@ -1,127 +1,147 @@
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diff --git a/tikz/validation-curve/cifar100_baseline_20170419-1617-12_history.csv b/tikz/validation-curve/cifar100_baseline_20170419-1617-12_history.csv
deleted file mode 100644
index 4eb7ef5..0000000
--- a/tikz/validation-curve/cifar100_baseline_20170419-1617-12_history.csv
+++ /dev/null
@@ -1,185 +0,0 @@
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index bbe3643..0000000
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index e44099d..0000000
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deleted file mode 100644
index ef842c5..0000000
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deleted file mode 100644
index 77a7669..0000000
--- a/tikz/validation-curve/cifar100_baseline_20170419-1940-09_history.csv
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index da61e38..0000000
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deleted file mode 100644
index ef91642..0000000
--- a/tikz/validation-curve/cifar100_baseline_20170419-2109-32_history.csv
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index f1badf9..0000000
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deleted file mode 100644
index 15658c3..0000000
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deleted file mode 100644
index 12267cb..0000000
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new file mode 100644
index 0000000..16d91d9
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new file mode 100644
index 0000000..1aa52d2
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new file mode 100644
index 0000000..6d3851a
--- /dev/null
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diff --git a/tikz/validation-curve/cifar100_baseline_20170427-0044-07_history.csv b/tikz/validation-curve/cifar100_baseline_20170427-0044-07_history.csv
new file mode 100644
index 0000000..4b523e6
--- /dev/null
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diff --git a/tikz/validation-curve/cifar100_baseline_20170427-0153-59_history.csv b/tikz/validation-curve/cifar100_baseline_20170427-0153-59_history.csv
new file mode 100644
index 0000000..c27a89d
--- /dev/null
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diff --git a/tikz/validation-curve/cifar100_baseline_20170427-0309-44_history.csv b/tikz/validation-curve/cifar100_baseline_20170427-0309-44_history.csv
new file mode 100644
index 0000000..f6a4f26
--- /dev/null
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new file mode 100644
index 0000000..97b2881
--- /dev/null
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diff --git a/tikz/validation-curve/cifar100_baseline_20170427-0535-22_history.csv b/tikz/validation-curve/cifar100_baseline_20170427-0535-22_history.csv
new file mode 100644
index 0000000..59a6947
--- /dev/null
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new file mode 100644
index 0000000..c555c5b
--- /dev/null
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+117,1.8341,0.5399,0.5874
+118,1.8434,0.5369,0.5904
+119,1.8291,0.5390,0.5878
+120,1.8155,0.5439,0.5904
+121,1.8163,0.5432,0.5978
+122,1.8181,0.5403,0.5984
+123,1.8122,0.5444,0.5976
+124,1.8036,0.5459,0.5922
+125,1.8072,0.5468,0.5876
+126,1.8031,0.5447,0.5880
+127,1.7859,0.5499,0.5870
+128,1.7848,0.5470,0.5914
+129,1.7850,0.5502,0.5878
+130,1.7831,0.5482,0.5890
+131,1.7846,0.5505,0.5950
+132,1.7801,0.5509,0.5964
+133,1.7741,0.5532,0.5984
+134,1.6330,0.5883,0.5972
+135,1.5945,0.5982,0.6060
+136,1.5691,0.6050,0.6026
+137,1.5466,0.6089,0.5984
+138,1.5157,0.6179,0.6002
+139,1.4997,0.6237,0.6020
+140,1.4828,0.6274,0.5946
+141,1.4584,0.6333,0.5976
+142,1.4368,0.6410,0.5976
+143,1.4164,0.6449,0.5936
+144,1.4041,0.6480,0.5988
+145,1.3834,0.6529,0.5946
+146,1.3695,0.6585,0.5974
diff --git a/tikz/validation-curve/cifar100_baseline_20170427-0746-59_history.csv b/tikz/validation-curve/cifar100_baseline_20170427-0746-59_history.csv
new file mode 100644
index 0000000..826bc4c
--- /dev/null
+++ b/tikz/validation-curve/cifar100_baseline_20170427-0746-59_history.csv
@@ -0,0 +1,157 @@
+epoch,loss,acc,val_acc
+1,4.6114,0.0540,0.1612
+2,4.1555,0.1116,0.2024
+3,3.9698,0.1438,0.2348
+4,3.8260,0.1756,0.2608
+5,3.7045,0.2001,0.2948
+6,3.6027,0.2218,0.3154
+7,3.5216,0.2405,0.3354
+8,3.4561,0.2512,0.3414
+9,3.3905,0.2667,0.3592
+10,3.3285,0.2793,0.3706
+11,3.2698,0.2881,0.3722
+12,3.2282,0.2961,0.3954
+13,3.1753,0.3031,0.3914
+14,3.1287,0.3150,0.3994
+15,3.0907,0.3195,0.4058
+16,3.0525,0.3277,0.4142
+17,3.0162,0.3331,0.4144
+18,2.9778,0.3390,0.4230
+19,2.9452,0.3446,0.4282
+20,2.9192,0.3485,0.4386
+21,2.8801,0.3554,0.4366
+22,2.8592,0.3570,0.4464
+23,2.8209,0.3669,0.4484
+24,2.7929,0.3692,0.4584
+25,2.7667,0.3764,0.4602
+26,2.7415,0.3780,0.4634
+27,2.7216,0.3798,0.4632
+28,2.6932,0.3882,0.4782
+29,2.6713,0.3910,0.4758
+30,2.6488,0.3920,0.4770
+31,2.6298,0.3975,0.4866
+32,2.6118,0.3996,0.4842
+33,2.5849,0.4042,0.4826
+34,2.5708,0.4053,0.4866
+35,2.5567,0.4084,0.4982
+36,2.5268,0.4151,0.4984
+37,2.5168,0.4155,0.4964
+38,2.5046,0.4177,0.5006
+39,2.4700,0.4250,0.5102
+40,2.4697,0.4228,0.5096
+41,2.4428,0.4287,0.5120
+42,2.4355,0.4305,0.5136
+43,2.4192,0.4329,0.5200
+44,2.4055,0.4331,0.5176
+45,2.3860,0.4398,0.5174
+46,2.3707,0.4418,0.5156
+47,2.3623,0.4414,0.5150
+48,2.3425,0.4456,0.5294
+49,2.3371,0.4439,0.5358
+50,2.3216,0.4493,0.5314
+51,2.3050,0.4529,0.5274
+52,2.2928,0.4535,0.5314
+53,2.2760,0.4574,0.5272
+54,2.2699,0.4577,0.5236
+55,2.2642,0.4579,0.5296
+56,2.2495,0.4639,0.5272
+57,2.2480,0.4605,0.5360
+58,2.2335,0.4619,0.5386
+59,2.2115,0.4696,0.5402
+60,2.2043,0.4702,0.5376
+61,2.2028,0.4705,0.5350
+62,2.1886,0.4691,0.5434
+63,2.1842,0.4748,0.5462
+64,2.1797,0.4700,0.5442
+65,2.1574,0.4746,0.5488
+66,2.1489,0.4801,0.5430
+67,2.1429,0.4789,0.5552
+68,2.1318,0.4832,0.5496
+69,2.1254,0.4828,0.5472
+70,2.1195,0.4825,0.5556
+71,2.0999,0.4870,0.5556
+72,2.0988,0.4880,0.5508
+73,2.0966,0.4887,0.5566
+74,2.0733,0.4951,0.5598
+75,2.0796,0.4930,0.5630
+76,2.0698,0.4943,0.5630
+77,2.0659,0.4944,0.5588
+78,2.0505,0.4988,0.5610
+79,2.0536,0.4980,0.5616
+80,2.0380,0.5001,0.5644
+81,2.0345,0.5014,0.5594
+82,2.0194,0.5035,0.5702
+83,2.0191,0.5031,0.5632
+84,2.0192,0.5021,0.5674
+85,2.0082,0.5068,0.5658
+86,1.9994,0.5047,0.5670
+87,1.9948,0.5074,0.5754
+88,1.9871,0.5081,0.5716
+89,1.9856,0.5093,0.5690
+90,1.9754,0.5114,0.5696
+91,1.9744,0.5104,0.5742
+92,1.9656,0.5158,0.5738
+93,1.9521,0.5173,0.5698
+94,1.9544,0.5159,0.5750
+95,1.9463,0.5191,0.5766
+96,1.9375,0.5211,0.5800
+97,1.9290,0.5196,0.5786
+98,1.9359,0.5196,0.5762
+99,1.9204,0.5247,0.5740
+100,1.9190,0.5230,0.5808
+101,1.9160,0.5205,0.5802
+102,1.9105,0.5244,0.5814
+103,1.9007,0.5253,0.5774
+104,1.8980,0.5287,0.5804
+105,1.8889,0.5304,0.5800
+106,1.8899,0.5253,0.5826
+107,1.8791,0.5351,0.5822
+108,1.8638,0.5330,0.5852
+109,1.8805,0.5287,0.5848
+110,1.8661,0.5325,0.5836
+111,1.8636,0.5332,0.5840
+112,1.8619,0.5328,0.5820
+113,1.8609,0.5321,0.5850
+114,1.8471,0.5379,0.5882
+115,1.8530,0.5334,0.5848
+116,1.8430,0.5378,0.5886
+117,1.8322,0.5394,0.5888
+118,1.8417,0.5365,0.5936
+119,1.8270,0.5408,0.5872
+120,1.8162,0.5454,0.5856
+121,1.8166,0.5425,0.5930
+122,1.8197,0.5405,0.5960
+123,1.8099,0.5459,0.5954
+124,1.8023,0.5468,0.5938
+125,1.8067,0.5462,0.5864
+126,1.8027,0.5451,0.5848
+127,1.7834,0.5522,0.5928
+128,1.7828,0.5479,0.5926
+129,1.7829,0.5504,0.5878
+130,1.7832,0.5488,0.5906
+131,1.7840,0.5509,0.5942
+132,1.7793,0.5522,0.5938
+133,1.7739,0.5533,0.5958
+134,1.6327,0.5880,0.5980
+135,1.5942,0.5967,0.6018
+136,1.5697,0.6053,0.5980
+137,1.5471,0.6105,0.5924
+138,1.5157,0.6166,0.5954
+139,1.4998,0.6253,0.5998
+140,1.4822,0.6259,0.5944
+141,1.4576,0.6347,0.5934
+142,1.4374,0.6413,0.5988
+143,1.4170,0.6447,0.5930
+144,1.4041,0.6468,0.5960
+145,1.3831,0.6544,0.6030
+146,1.3665,0.6583,0.6008
+147,1.3489,0.6625,0.5952
+148,1.3403,0.6659,0.5980
+149,1.3258,0.6697,0.5836
+150,1.3090,0.6726,0.5880
+151,1.2885,0.6805,0.5948
+152,1.2874,0.6773,0.5926
+153,1.2644,0.6850,0.5930
+154,1.2502,0.6892,0.5908
+155,1.2376,0.6912,0.5882
+156,1.2286,0.6926,0.5824
diff --git a/tikz/validation-curve/edit_curve.py b/tikz/validation-curve/edit_curve.py
old mode 100644
new mode 100755
index c4b3fc6..38e7cb5
--- a/tikz/validation-curve/edit_curve.py
+++ b/tikz/validation-curve/edit_curve.py
@@ -4,8 +4,10 @@ import csv
 import glob
 import numpy as np
 
-history_files = glob.glob("*.csv")
+history_files = glob.glob("cifar100_*.csv")
+print(history_files)
 data = []
+loss = []
 
 for filename in history_files:
     print(filename)
@@ -18,7 +20,7 @@ for filename in history_files:
             if i == 0:
                 continue
             data.append([float(el[2])])
-        print(data)
+            loss.append([float(el[1])])
     else:
         for i, el in enumerate(datathis):
             if i == 0:
@@ -26,20 +28,60 @@ for filename in history_files:
             if i == len(data):
                 break
             data[i - 1].append(float(el[2]))
+            loss[i - 1].append(float(el[1]))
 
-print("!" * 80)
-print(data)
-print("-" * 80)
+# crop to where all are trained
+print(len(data))
+orderings = []
+for i, el in enumerate(data):
+    if len(el) != len(history_files):
+        break
+data = data[:i]
+loss = loss[:i]
+print(len(data))
+
+
+# orderings
+def get_changes(ord1, ord2):
+    """Count how often the order changes between two elements."""
+    changes = 0
+    for i in range(10):
+        for j in range(i + 1, 10):
+            o1go2 = (ord1.index(i) > ord1.index(j) and
+                     ord2.index(i) > ord2.index(j))
+            o1lo2 = (ord1.index(i) < ord1.index(j) and
+                     ord2.index(i) < ord2.index(j))
+            if not (o1go2 or o1lo2):
+                changes += 1
+
+    return changes
+
+if len(history_files) > 1:
+    orderings = []
+    for row in data:
+        ordering = zip(range(10), row)
+        ordering = sorted(ordering, key=lambda n: n[1])
+        ordering = [el[0] for el in ordering]
+        orderings.append(ordering)
+    get_changes(orderings[0], orderings[1])
+
+    change_list = []
+    for ord1, ord2 in zip(orderings, orderings[1:]):
+        changes = get_changes(ord1, ord2)
+        change_list.append(changes)
+    change_list = np.array(change_list)
+
+    print("change_list = {}".format(change_list.mean()))
+
+# write
 max_range = 0
 with open('baseline_cifar_test_acc.csv', 'w') as fp:
     writer = csv.writer(fp, delimiter=',')
-    writer.writerow(["epoch", "min_acc", "max_acc", "mean_acc"])
+    writer.writerow(["epoch", "min_acc", "max_acc", "mean_acc", "mean_loss"])
     for epoch, row in enumerate(data):
-        if len(row) < 10:
-            print(row)
-            print(len(row))
+        if len(row) < len(history_files):
             break
         max_range = max(max_range, max(row) - min(row))
-        print("max range={}, epoch={}".format(max_range, epoch))
-        writer.writerow([epoch, min(row), max(row), np.array(row).mean()])
-print(max_range)
+        writer.writerow([epoch, min(row), max(row), np.array(row).mean(),
+                         np.array(loss[epoch]).mean()])
+print("max_range={}".format(max_range))
diff --git a/tikz/validation-curve/validation-curve.png b/tikz/validation-curve/validation-curve.png
index 7825bb6..f6e4fe1 100644
Binary files a/tikz/validation-curve/validation-curve.png and b/tikz/validation-curve/validation-curve.png differ
diff --git a/tikz/validation-curve/validation-curve.tex b/tikz/validation-curve/validation-curve.tex
index e98e657..118da2f 100644
--- a/tikz/validation-curve/validation-curve.tex
+++ b/tikz/validation-curve/validation-curve.tex
@@ -1,4 +1,4 @@
-\documentclass[varwidth=true, border=2pt]{standalone}
+\documentclass[border=2pt]{standalone}
 \usepackage[utf8]{inputenc} % this is needed for umlauts
 \usepackage[ngerman]{babel} % this is needed for umlauts
 \usepackage[T1]{fontenc}    % this is needed for correct output of umlauts in pdf
@@ -9,33 +9,48 @@
 \pgfplotsset{compat=1.13}
 
 \begin{document}
+\definecolor{c1}{HTML}{0072B2}
+\definecolor{c2}{HTML}{009E73}
+\definecolor{c3}{HTML}{CB0000}
 \begin{tikzpicture}
+\pgfplotsset{
+    scale only axis,
+    % scaled x ticks=base 10:3,
+    xmin=0, xmax=171,
+    width=15cm, height=8cm,     % size of the image
+}
     \begin{axis}[
-            axis x line=middle,
-            axis y line=middle,
-            enlarge y limits=true,
-            xmin=0,
-            %xmax=2014,
+            axis y line*=left,
             ymin=0.15,
             % ymax=26000,
-            width=15cm, height=8cm,     % size of the image
             grid = major,
             grid style={dashed, gray!30},
-            ylabel=validation error,
-            ylabel style={at={(0,1.0)}},
+            ylabel=validation accuracy,
+            legend style={at={(0.5,0.1)},anchor=south},
+            % ylabel style={at={(0,1.0)}    },
             xlabel=epoch,
-            legend style={at={(0.8,0.71)}, anchor=north},
-            legend cell align=right,
+            % legend style={at={(0.3,0.2)}, anchor=north},
+            % legend cell align=right,
             xticklabel style=
             {/pgf/number format/1000 sep=,rotate=60,anchor=east,font=\scriptsize},
-            % yticklabel style=
-            % {scaled ticks=false,/pgf/number format/1000 sep=\,,rotate=0,anchor=east,font=\scriptsize},
-            % legend style={draw=none, legend columns=-1}
          ]
-          \addplot[thick, red, mark=., densely dashed] table [x=epoch, y=max_acc, col sep=comma] {baseline_cifar_test_acc.csv};
-          \addplot[thick, blue, mark=.] table [x=epoch,y=min_acc, col sep=comma] {baseline_cifar_test_acc.csv};
-          \legend{maximum validation accuracy, minimum validation accuracy}
+          \addplot[thick, c1, mark=., densely dashed] table [x=epoch, y=max_acc, col sep=comma] {baseline_cifar_test_acc.csv};\label{plot_one}\addlegendentry{maximum validation accuracy}
+          \addplot[thick, c2, mark=.] table [x=epoch,y=min_acc, col sep=comma] {baseline_cifar_test_acc.csv};\label{plot_two}\addlegendentry{minimum validation accuracy}
     \end{axis}
-\end{tikzpicture}d
-
+    \begin{axis}[
+      axis y line*=right,
+      axis x line=none,
+      % xmin=0,
+      % xmax=171,
+      % ymin=0, ymax=100,
+      ylabel=loss,
+      legend style={at={(0.5,0.1)},anchor=south},
+      y dir=reverse
+    ]
+          \addlegendimage{thick, c1, mark=., densely dashed}\addlegendentry{maximum validation accuracy}
+          \addlegendimage{thick, c2, mark=.}\addlegendentry{minimum validation accuracy}
+          \addplot[thick, c3, mark=., dotted] table [x=epoch,y=mean_loss, col sep=comma] {baseline_cifar_test_acc.csv};
+          \addlegendentry{mean loss}
+    \end{axis}
+\end{tikzpicture}
 \end{document}