Updated for challenge 9

[cipher-tools.git] / caesar_break_parameter_trials.csv

diff --git a/caesar_break_parameter_trials.csv b/caesar_break_parameter_trials.csv
index ae1b8415f1b65f23a0c263e744cd61ccce40d486..30c1a336c30447a3c9de2493d8f3ae127c7618ad 100644 (file)
--- a/caesar_break_parameter_trials.csv
+++ b/caesar_break_parameter_trials.csv
@@ -1,148 +1,12 @@
-metric,scaling,message_length,score
-l1, normalised, 300, 0.9996
-l1, normalised, 100, 1.0
-l1, normalised, 50, 0.9988
-l1, normalised, 30, 0.99
-l1, normalised, 20, 0.952
-l1, normalised, 10, 0.7144
-l1, normalised, 5, 0.4368
-l1, euclidean_scaled, 300, 0.999
-l1, euclidean_scaled, 100, 0.9994
-l1, euclidean_scaled, 50, 0.9984
-l1, euclidean_scaled, 30, 0.9912
-l1, euclidean_scaled, 20, 0.9526
-l1, euclidean_scaled, 10, 0.7478
-l1, euclidean_scaled, 5, 0.439
-l1, normalised_with_identity, 300, 0.9652
-l1, normalised_with_identity, 100, 0.9898
-l1, normalised_with_identity, 50, 0.9862
-l1, normalised_with_identity, 30, 0.9622
-l1, normalised_with_identity, 20, 0.9084
-l1, normalised_with_identity, 10, 0.7134
-l1, normalised_with_identity, 5, 0.4376
-l2, normalised, 300, 0.9994
-l2, normalised, 100, 0.9994
-l2, normalised, 50, 0.999
-l2, normalised, 30, 0.9808
-l2, normalised, 20, 0.9364
-l2, normalised, 10, 0.7062
-l2, normalised, 5, 0.4304
-l2, euclidean_scaled, 300, 0.9994
-l2, euclidean_scaled, 100, 0.9996
-l2, euclidean_scaled, 50, 0.9978
-l2, euclidean_scaled, 30, 0.9842
-l2, euclidean_scaled, 20, 0.9372
-l2, euclidean_scaled, 10, 0.7214
-l2, euclidean_scaled, 5, 0.4402
-l2, normalised_with_identity, 300, 0.9992
-l2, normalised_with_identity, 100, 0.9992
-l2, normalised_with_identity, 50, 0.9966
-l2, normalised_with_identity, 30, 0.9848
-l2, normalised_with_identity, 20, 0.9346
-l2, normalised_with_identity, 10, 0.719
-l2, normalised_with_identity, 5, 0.428
-l2, normalised, 300, 0.9994
-l2, normalised, 100, 0.9994
-l2, normalised, 50, 0.9928
-l2, normalised, 30, 0.9554
-l2, normalised, 20, 0.8642
-l2, normalised, 10, 0.5982
-l2, normalised, 5, 0.3996
-l2, euclidean_scaled, 300, 0.9998
-l2, euclidean_scaled, 100, 0.9998
-l2, euclidean_scaled, 50, 0.994
-l2, euclidean_scaled, 30, 0.9692
-l2, euclidean_scaled, 20, 0.8902
-l2, euclidean_scaled, 10, 0.6312
-l2, euclidean_scaled, 5, 0.3964
-l2, normalised_with_identity, 300, 0.9996
-l2, normalised_with_identity, 100, 0.9976
-l2, normalised_with_identity, 50, 0.9702
-l2, normalised_with_identity, 30, 0.8988
-l2, normalised_with_identity, 20, 0.7732
-l2, normalised_with_identity, 10, 0.5536
-l2, normalised_with_identity, 5, 0.3958
-cosine_distance, normalised, 300, 1.0
-cosine_distance, normalised, 100, 0.9992
-cosine_distance, normalised, 50, 0.9978
-cosine_distance, normalised, 30, 0.9862
-cosine_distance, normalised, 20, 0.938
-cosine_distance, normalised, 10, 0.7216
-cosine_distance, normalised, 5, 0.4358
-cosine_distance, euclidean_scaled, 300, 1.0
-cosine_distance, euclidean_scaled, 100, 0.9996
-cosine_distance, euclidean_scaled, 50, 0.9986
-cosine_distance, euclidean_scaled, 30, 0.9856
-cosine_distance, euclidean_scaled, 20, 0.9348
-cosine_distance, euclidean_scaled, 10, 0.7036
-cosine_distance, euclidean_scaled, 5, 0.4402
-cosine_distance, normalised_with_identity, 300, 0.999
-cosine_distance, normalised_with_identity, 100, 0.9994
-cosine_distance, normalised_with_identity, 50, 0.9984
-cosine_distance, normalised_with_identity, 30, 0.9844
-cosine_distance, normalised_with_identity, 20, 0.9376
-cosine_distance, normalised_with_identity, 10, 0.7184
-cosine_distance, normalised_with_identity, 5, 0.442
-harminic_mean, normalised, 300, 0.8082
-harminic_mean, normalised, 100, 0.8386
-harminic_mean, normalised, 50, 0.7576
-harminic_mean, normalised, 30, 0.2696
-harminic_mean, normalised, 20, 0.8576
-harminic_mean, normalised, 10, 0.6748
-harminic_mean, normalised, 5, 0.4498
-harminic_mean, euclidean_scaled, 300, 0.4754
-harminic_mean, euclidean_scaled, 100, 0.5136
-harminic_mean, euclidean_scaled, 50, 0.6756
-harminic_mean, euclidean_scaled, 30, 0.596
-harminic_mean, euclidean_scaled, 20, 0.538
-harminic_mean, euclidean_scaled, 10, 0.4296
-harminic_mean, euclidean_scaled, 5, 0.357
-harminic_mean, normalised_with_identity, 300, 0.9544
-harminic_mean, normalised_with_identity, 100, 0.9738
-harminic_mean, normalised_with_identity, 50, 0.952
-harminic_mean, normalised_with_identity, 30, 0.9252
-harminic_mean, normalised_with_identity, 20, 0.8956
-harminic_mean, normalised_with_identity, 10, 0.747
-harminic_mean, normalised_with_identity, 5, 0.4582
-geometric_mean, normalised, 300, 0.9996
-geometric_mean, normalised, 100, 0.9996
-geometric_mean, normalised, 50, 0.989
-geometric_mean, normalised, 30, 0.9218
-geometric_mean, normalised, 20, 0.9434
-geometric_mean, normalised, 10, 0.7138
-geometric_mean, normalised, 5, 0.4626
-geometric_mean, euclidean_scaled, 300, 0.9998
-geometric_mean, euclidean_scaled, 100, 0.9986
-geometric_mean, euclidean_scaled, 50, 0.993
-geometric_mean, euclidean_scaled, 30, 0.9538
-geometric_mean, euclidean_scaled, 20, 0.8868
-geometric_mean, euclidean_scaled, 10, 0.6452
-geometric_mean, euclidean_scaled, 5, 0.4466
-geometric_mean, normalised_with_identity, 300, 0.9416
-geometric_mean, normalised_with_identity, 100, 0.9894
-geometric_mean, normalised_with_identity, 50, 0.9854
-geometric_mean, normalised_with_identity, 30, 0.9758
-geometric_mean, normalised_with_identity, 20, 0.9336
-geometric_mean, normalised_with_identity, 10, 0.7704
-geometric_mean, normalised_with_identity, 5, 0.4742
-inverse_log_pl, normalised, 300, 0.9994
-inverse_log_pl, normalised, 100, 0.9992
-inverse_log_pl, normalised, 50, 0.9998
-inverse_log_pl, normalised, 30, 0.9974
-inverse_log_pl, normalised, 20, 0.9804
-inverse_log_pl, normalised, 10, 0.8164
-inverse_log_pl, normalised, 5, 0.4832
-inverse_log_pl, euclidean_scaled, 300, 0.9996
-inverse_log_pl, euclidean_scaled, 100, 0.9994
-inverse_log_pl, euclidean_scaled, 50, 0.9998
-inverse_log_pl, euclidean_scaled, 30, 0.9968
-inverse_log_pl, euclidean_scaled, 20, 0.98
-inverse_log_pl, euclidean_scaled, 10, 0.8116
-inverse_log_pl, euclidean_scaled, 5, 0.4824
-inverse_log_pl, normalised_with_identity, 300, 0.9994
-inverse_log_pl, normalised_with_identity, 100, 0.9996
-inverse_log_pl, normalised_with_identity, 50, 0.9994
-inverse_log_pl, normalised_with_identity, 30, 0.996
-inverse_log_pl, normalised_with_identity, 20, 0.9796
-inverse_log_pl, normalised_with_identity, 10, 0.8148
-inverse_log_pl, normalised_with_identity, 5, 0.477
+"name",100,50,30,20,10,5\r
+"Pbigrams",99975,99972,99962,99831,95323,67277\r
+"Pletters",99952,99937,99683,97936,81597,47758\r
+"Ptrigrams",99991,99994,99990,99944,97994,74922\r
+"cosine_similarity + l1_scaled",99948,99764,98358,93346,71183,43193\r
+"cosine_similarity + l2_scaled",99946,99768,98345,93399,71353,43259\r
+"l1 + l1_scaled",99949,99879,98944,95454,72617,42940\r
+"l1 + l2_scaled",99945,99889,98996,95350,74966,44413\r
+"l2 + l1_scaled",99946,99822,98336,93457,71287,43350\r
+"l2 + l2_scaled",99957,99796,98274,93471,71413,43288\r
+"l3 + l1_scaled",99942,99324,95766,87384,59770,40661\r
+"l3 + l2_scaled",99922,99445,96568,89109,63241,39819\r