X-Git-Url: https://git.njae.me.uk/?a=blobdiff_plain;f=caesar_break_parameter_trials.csv;h=e18f92c5604d97855b83cff0fdce99d17c7385a1;hb=0e3e7f869cb661bd92d50a0407556e289c5e7bf9;hp=ba7ee273a0682301beab9d4da6d0db1cba45f0ec;hpb=ac47ee478ba8e785037c9f25367c111f630eea54;p=cipher-tools.git

diff --git a/caesar_break_parameter_trials.csv b/caesar_break_parameter_trials.csv
index ba7ee27..e18f92c 100644
--- a/caesar_break_parameter_trials.csv
+++ b/caesar_break_parameter_trials.csv
@@ -1,168 +1,106 @@
-l1, normalised_english_counts, normalise, 300, 0.9992
-l1, normalised_english_counts, normalise, 100, 0.9996
-l1, normalised_english_counts, normalise, 50, 0.9992
-l1, normalised_english_counts, normalise, 30, 0.9914
-l1, normalised_english_counts, normalise, 20, 0.9532
-l1, normalised_english_counts, normalise, 10, 0.7442
-l1, normalised_english_counts, normalise, 5, 0.4358
-l1, normalised_english_counts, scale, 300, 1.0
-l1, normalised_english_counts, scale, 100, 0.999
-l1, normalised_english_counts, scale, 50, 0.9988
-l1, normalised_english_counts, scale, 30, 0.9848
-l1, normalised_english_counts, scale, 20, 0.9316
-l1, normalised_english_counts, scale, 10, 0.715
-l1, normalised_english_counts, scale, 5, 0.436
-l1, scaled_english_counts, normalise, 300, 0.9994
-l1, scaled_english_counts, normalise, 100, 0.9998
-l1, scaled_english_counts, normalise, 50, 0.999
-l1, scaled_english_counts, normalise, 30, 0.9868
-l1, scaled_english_counts, normalise, 20, 0.9482
-l1, scaled_english_counts, normalise, 10, 0.7434
-l1, scaled_english_counts, normalise, 5, 0.4532
-l1, scaled_english_counts, scale, 300, 0.9996
-l1, scaled_english_counts, scale, 100, 1.0
-l1, scaled_english_counts, scale, 50, 0.9988
-l1, scaled_english_counts, scale, 30, 0.9874
-l1, scaled_english_counts, scale, 20, 0.9488
-l1, scaled_english_counts, scale, 10, 0.745
-l1, scaled_english_counts, scale, 5, 0.4548
-l2, normalised_english_counts, normalise, 300, 0.9994
-l2, normalised_english_counts, normalise, 100, 0.9992
-l2, normalised_english_counts, normalise, 50, 0.9978
-l2, normalised_english_counts, normalise, 30, 0.9836
-l2, normalised_english_counts, normalise, 20, 0.9318
-l2, normalised_english_counts, normalise, 10, 0.7072
-l2, normalised_english_counts, normalise, 5, 0.4294
-l2, normalised_english_counts, scale, 300, 0.9988
-l2, normalised_english_counts, scale, 100, 0.9998
-l2, normalised_english_counts, scale, 50, 0.9978
-l2, normalised_english_counts, scale, 30, 0.9868
-l2, normalised_english_counts, scale, 20, 0.9364
-l2, normalised_english_counts, scale, 10, 0.7136
-l2, normalised_english_counts, scale, 5, 0.446
-l2, scaled_english_counts, normalise, 300, 0.9992
-l2, scaled_english_counts, normalise, 100, 0.9996
-l2, scaled_english_counts, normalise, 50, 0.9984
-l2, scaled_english_counts, normalise, 30, 0.9854
-l2, scaled_english_counts, normalise, 20, 0.9328
-l2, scaled_english_counts, normalise, 10, 0.7122
-l2, scaled_english_counts, normalise, 5, 0.4328
-l2, scaled_english_counts, scale, 300, 1.0
-l2, scaled_english_counts, scale, 100, 0.9998
-l2, scaled_english_counts, scale, 50, 0.9972
-l2, scaled_english_counts, scale, 30, 0.9842
-l2, scaled_english_counts, scale, 20, 0.9356
-l2, scaled_english_counts, scale, 10, 0.7126
-l2, scaled_english_counts, scale, 5, 0.4318
-l3, normalised_english_counts, normalise, 300, 0.9996
-l3, normalised_english_counts, normalise, 100, 0.999
-l3, normalised_english_counts, normalise, 50, 0.994
-l3, normalised_english_counts, normalise, 30, 0.9658
-l3, normalised_english_counts, normalise, 20, 0.8926
-l3, normalised_english_counts, normalise, 10, 0.6252
-l3, normalised_english_counts, normalise, 5, 0.3974
-l3, normalised_english_counts, scale, 300, 0.9996
-l3, normalised_english_counts, scale, 100, 0.998
-l3, normalised_english_counts, scale, 50, 0.9828
-l3, normalised_english_counts, scale, 30, 0.9334
-l3, normalised_english_counts, scale, 20, 0.8304
-l3, normalised_english_counts, scale, 10, 0.5968
-l3, normalised_english_counts, scale, 5, 0.4114
-l3, scaled_english_counts, normalise, 300, 0.9994
-l3, scaled_english_counts, normalise, 100, 0.9984
-l3, scaled_english_counts, normalise, 50, 0.9876
-l3, scaled_english_counts, normalise, 30, 0.9284
-l3, scaled_english_counts, normalise, 20, 0.8322
-l3, scaled_english_counts, normalise, 10, 0.579
-l3, scaled_english_counts, normalise, 5, 0.3466
-l3, scaled_english_counts, scale, 300, 1.0
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-l3, scaled_english_counts, scale, 50, 0.994
-l3, scaled_english_counts, scale, 30, 0.9688
-l3, scaled_english_counts, scale, 20, 0.8952
-l3, scaled_english_counts, scale, 10, 0.6416
-l3, scaled_english_counts, scale, 5, 0.4042
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-cosine_distance, normalised_english_counts, normalise, 50, 0.9978
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-cosine_distance, scaled_english_counts, scale, 300, 0.9982
-cosine_distance, scaled_english_counts, scale, 100, 0.9988
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-cosine_distance, scaled_english_counts, scale, 5, 0.4376
-harmonic_mean, normalised_english_counts, normalise, 300, 0.4684
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-harmonic_mean, normalised_english_counts, scale, 300, 0.3602
-harmonic_mean, normalised_english_counts, scale, 100, 0.57
-harmonic_mean, normalised_english_counts, scale, 50, 0.795
-harmonic_mean, normalised_english_counts, scale, 30, 0.7694
-harmonic_mean, normalised_english_counts, scale, 20, 0.6924
-harmonic_mean, normalised_english_counts, scale, 10, 0.559
-harmonic_mean, normalised_english_counts, scale, 5, 0.39
-harmonic_mean, scaled_english_counts, normalise, 300, 0.1214
-harmonic_mean, scaled_english_counts, normalise, 100, 0.132
-harmonic_mean, scaled_english_counts, normalise, 50, 0.1956
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-harmonic_mean, scaled_english_counts, normalise, 10, 0.2042
-harmonic_mean, scaled_english_counts, normalise, 5, 0.227
-harmonic_mean, scaled_english_counts, scale, 300, 0.7956
-harmonic_mean, scaled_english_counts, scale, 100, 0.5672
-harmonic_mean, scaled_english_counts, scale, 50, 0.4404
-harmonic_mean, scaled_english_counts, scale, 30, 0.3584
-harmonic_mean, scaled_english_counts, scale, 20, 0.3012
-harmonic_mean, scaled_english_counts, scale, 10, 0.2136
-harmonic_mean, scaled_english_counts, scale, 5, 0.1426
-geometric_mean, normalised_english_counts, normalise, 300, 0.9996
-geometric_mean, normalised_english_counts, normalise, 100, 0.9992
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-geometric_mean, normalised_english_counts, normalise, 30, 0.9552
-geometric_mean, normalised_english_counts, normalise, 20, 0.8936
-geometric_mean, normalised_english_counts, normalise, 10, 0.6582
-geometric_mean, normalised_english_counts, normalise, 5, 0.4316
-geometric_mean, normalised_english_counts, scale, 300, 0.97
-geometric_mean, normalised_english_counts, scale, 100, 0.9762
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-geometric_mean, normalised_english_counts, scale, 10, 0.6846
-geometric_mean, normalised_english_counts, scale, 5, 0.4268
-geometric_mean, scaled_english_counts, normalise, 300, 0.9556
-geometric_mean, scaled_english_counts, normalise, 100, 0.8724
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-geometric_mean, scaled_english_counts, normalise, 30, 0.6536
-geometric_mean, scaled_english_counts, normalise, 20, 0.5586
-geometric_mean, scaled_english_counts, normalise, 10, 0.3926
-geometric_mean, scaled_english_counts, normalise, 5, 0.319
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-geometric_mean, scaled_english_counts, scale, 30, 0.349
-geometric_mean, scaled_english_counts, scale, 20, 0.2932
-geometric_mean, scaled_english_counts, scale, 10, 0.2098
-geometric_mean, scaled_english_counts, scale, 5, 0.1406
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+l3 + normalised, 1.0, 0.9986, 0.9932, 0.963, 0.8696, 0.594, 0.4122
+l3 + normalised, 1.0, 0.9986, 0.9932, 0.963, 0.8696, 0.594, 0.4122
+l3 + normalised, 1.0, 0.9986, 0.9932, 0.963, 0.8696, 0.594, 0.4122
+=======
+"name",100,50,30,20,10,5
+"Pletters",4996,4997,4984,4900,4063,2358
+"cosine_similarity + euclidean_scaled",4998,4986,4914,4659,3528,2198
+"cosine_similarity + normalised",4997,4993,4917,4659,3557,2084
+"l1 + euclidean_scaled",4998,4992,4951,4755,3767,2192
+"l1 + normalised",4998,4996,4936,4767,3596,2161
+"l2 + euclidean_scaled",4998,4990,4926,4683,3567,2179
+"l2 + normalised",4995,4993,4920,4672,3610,2135
+"l3 + euclidean_scaled",4996,4964,4822,4457,3167,2018
+"l3 + normalised",4999,4973,4797,4351,2872,1989
+>>>>>>> 883806c... More tweaking