Update README.md

README.md

@@ -169,6 +169,41 @@ DONE
 
 Lets make some inbred mutants and see how they behave.
 
+
+```
+=================================================================
+EVOLUTION SUMMARY
+=================================================================
+
+  Model        Gen  v_acc      cv  poly curve  star struct
+  -------------------------------------------------------
+  F0_geo         0  0.663  1.8428  0.36  1.00  0.75  0.72
+  F0_raw         0  0.586  1.2137  0.48  0.29  0.91  0.64
+  F1_new         1  0.690  0.0000  0.00  0.00  0.00  0.00
+  G1_0           1  0.746  0.5866  0.50  0.99  0.93  0.74
+  G1_1           1  0.749  0.4433  0.49  1.00  0.95  0.74
+  G1_2           1  0.761  0.2822  0.49  1.00  0.99  0.75
+  F2_new         2  0.699  0.0000  0.00  0.00  0.00  0.00
+  G2_0           2  0.750  0.4110  0.49  0.99  0.94  0.75
+  G2_1           2  0.751  0.4170  0.49  0.95  0.97  0.76
+  G2_2           2  0.766  0.3079  0.54  0.98  0.96  0.75
+  G2_3           2  0.764  0.3613  0.55  0.98  0.97  0.73
+  FINAL          3  0.764  0.2954  0.55  1.00  0.96  0.73
+
+  Per-generation averages:
+    Gen 0: mean_acc=0.625 best=0.663 n=2
+    Gen 1: mean_acc=0.737 best=0.761 n=4
+    Gen 2: mean_acc=0.746 best=0.766 n=5
+    Gen 3: mean_acc=0.764 best=0.764 n=1
+
+  Consensus CV progression: G1=0.1258 → G2=0.1031 → G3=0.1456
+```
+
+Turns out this is a bit more selective and a bit less jitter than something like genetic inheritance.
+
+Not only that, but it's actually not bad.
+
+
 ---------------------------------------------------------------------------------------------------
 # Large Experimental Conclusion 1: