diff --git a/analysis/matlab/variations/naive_a2_d0_13/learning_curve.png b/analysis/matlab/variations/naive_a2_d0_13/learning_curve.png
index 2ae5269..dbe5a97 100644
Binary files a/analysis/matlab/variations/naive_a2_d0_13/learning_curve.png and b/analysis/matlab/variations/naive_a2_d0_13/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_a2_d0_13/learning_curve_rate.png b/analysis/matlab/variations/naive_a2_d0_13/learning_curve_rate.png
index db1045b..a23bc95 100644
Binary files a/analysis/matlab/variations/naive_a2_d0_13/learning_curve_rate.png and b/analysis/matlab/variations/naive_a2_d0_13/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_a2_d0_13/plotcurve.m b/analysis/matlab/variations/naive_a2_d0_13/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_a2_d0_13/plotcurve.m
+++ b/analysis/matlab/variations/naive_a2_d0_13/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_a2_d0_5/learning_curve.png b/analysis/matlab/variations/naive_a2_d0_5/learning_curve.png
index 4009d77..e301b9b 100644
Binary files a/analysis/matlab/variations/naive_a2_d0_5/learning_curve.png and b/analysis/matlab/variations/naive_a2_d0_5/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_a2_d0_5/learning_curve_rate.png b/analysis/matlab/variations/naive_a2_d0_5/learning_curve_rate.png
index 0d211af..037eedf 100644
Binary files a/analysis/matlab/variations/naive_a2_d0_5/learning_curve_rate.png and b/analysis/matlab/variations/naive_a2_d0_5/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_a2_d0_5/plotcurve.m b/analysis/matlab/variations/naive_a2_d0_5/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_a2_d0_5/plotcurve.m
+++ b/analysis/matlab/variations/naive_a2_d0_5/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_a2_d6_10/learning_curve.png b/analysis/matlab/variations/naive_a2_d6_10/learning_curve.png
index 0560fbd..65f1c90 100644
Binary files a/analysis/matlab/variations/naive_a2_d6_10/learning_curve.png and b/analysis/matlab/variations/naive_a2_d6_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_a2_d6_10/learning_curve_rate.png b/analysis/matlab/variations/naive_a2_d6_10/learning_curve_rate.png
index 997229d..a95529f 100644
Binary files a/analysis/matlab/variations/naive_a2_d6_10/learning_curve_rate.png and b/analysis/matlab/variations/naive_a2_d6_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_a2_d6_10/plotcurve.m b/analysis/matlab/variations/naive_a2_d6_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_a2_d6_10/plotcurve.m
+++ b/analysis/matlab/variations/naive_a2_d6_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_a2_d6_13/learning_curve.png b/analysis/matlab/variations/naive_a2_d6_13/learning_curve.png
index 53cce50..4bc35b4 100644
Binary files a/analysis/matlab/variations/naive_a2_d6_13/learning_curve.png and b/analysis/matlab/variations/naive_a2_d6_13/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_a2_d6_13/learning_curve_rate.png b/analysis/matlab/variations/naive_a2_d6_13/learning_curve_rate.png
index 82356cd..14303b9 100644
Binary files a/analysis/matlab/variations/naive_a2_d6_13/learning_curve_rate.png and b/analysis/matlab/variations/naive_a2_d6_13/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_a2_d6_13/plotcurve.m b/analysis/matlab/variations/naive_a2_d6_13/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_a2_d6_13/plotcurve.m
+++ b/analysis/matlab/variations/naive_a2_d6_13/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_boxa_d0_10/learning_curve.png b/analysis/matlab/variations/naive_boxa_d0_10/learning_curve.png
index 0f1f8f8..9a41c8b 100644
Binary files a/analysis/matlab/variations/naive_boxa_d0_10/learning_curve.png and b/analysis/matlab/variations/naive_boxa_d0_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d0_10/learning_curve_rate.png b/analysis/matlab/variations/naive_boxa_d0_10/learning_curve_rate.png
index 9546047..ee8032f 100644
Binary files a/analysis/matlab/variations/naive_boxa_d0_10/learning_curve_rate.png and b/analysis/matlab/variations/naive_boxa_d0_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d0_10/plotcurve.m b/analysis/matlab/variations/naive_boxa_d0_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_boxa_d0_10/plotcurve.m
+++ b/analysis/matlab/variations/naive_boxa_d0_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_boxa_d0_13/learning_curve.png b/analysis/matlab/variations/naive_boxa_d0_13/learning_curve.png
index b7f0140..1dbb6b4 100644
Binary files a/analysis/matlab/variations/naive_boxa_d0_13/learning_curve.png and b/analysis/matlab/variations/naive_boxa_d0_13/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d0_13/learning_curve_rate.png b/analysis/matlab/variations/naive_boxa_d0_13/learning_curve_rate.png
index b1fc2f9..1ace8a7 100644
Binary files a/analysis/matlab/variations/naive_boxa_d0_13/learning_curve_rate.png and b/analysis/matlab/variations/naive_boxa_d0_13/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d0_13/plotcurve.m b/analysis/matlab/variations/naive_boxa_d0_13/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_boxa_d0_13/plotcurve.m
+++ b/analysis/matlab/variations/naive_boxa_d0_13/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_boxa_d0_5/learning_curve.png b/analysis/matlab/variations/naive_boxa_d0_5/learning_curve.png
index a8a1dee..e0aee64 100644
Binary files a/analysis/matlab/variations/naive_boxa_d0_5/learning_curve.png and b/analysis/matlab/variations/naive_boxa_d0_5/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d0_5/learning_curve_rate.png b/analysis/matlab/variations/naive_boxa_d0_5/learning_curve_rate.png
index 0f294c3..456557d 100644
Binary files a/analysis/matlab/variations/naive_boxa_d0_5/learning_curve_rate.png and b/analysis/matlab/variations/naive_boxa_d0_5/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d0_5/plotcurve.m b/analysis/matlab/variations/naive_boxa_d0_5/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_boxa_d0_5/plotcurve.m
+++ b/analysis/matlab/variations/naive_boxa_d0_5/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_boxa_d6_10/learning_curve.png b/analysis/matlab/variations/naive_boxa_d6_10/learning_curve.png
index ea65f96..3f9682b 100644
Binary files a/analysis/matlab/variations/naive_boxa_d6_10/learning_curve.png and b/analysis/matlab/variations/naive_boxa_d6_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d6_10/learning_curve_rate.png b/analysis/matlab/variations/naive_boxa_d6_10/learning_curve_rate.png
index eb452e2..41934ac 100644
Binary files a/analysis/matlab/variations/naive_boxa_d6_10/learning_curve_rate.png and b/analysis/matlab/variations/naive_boxa_d6_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_boxa_d6_10/plotcurve.m b/analysis/matlab/variations/naive_boxa_d6_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_boxa_d6_10/plotcurve.m
+++ b/analysis/matlab/variations/naive_boxa_d6_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');