-metric,scaling,message_length,score
-'l2', 'normalised_with_identity', 50,1.969
-'l2', 'euclidean_scaled', 10,1.3528
-'l2', 'euclidean_scaled', 100,1.998
-'inverse_log_pl', 'normalised_with_identity', 100,0.9994
-'l1', 'normalised', 100,1.0
-'inverse_log_pl', 'normalised', 20,0.9814
-'l2', 'normalised_with_identity', 20,1.7306
-'l2', 'euclidean_scaled', 300,1.9984
-'cosine_distance', 'normalised', 5,0.4382
-'l2', 'normalised', 5,0.8352
-'l1', 'normalised', 300,0.9998
-'cosine_distance', 'normalised', 50,0.9968
-'inverse_log_pl', 'normalised', 5,0.4866
-'harmonic_mean', 'normalised', 5,0.4616
-'l2', 'normalised_with_identity', 10,1.2578
-'geometric_mean', 'normalised', 10,0.726
-'harmonic_mean', 'normalised_with_identity', 10,0.7482
-'harmonic_mean', 'euclidean_scaled', 50,0.6858
-'inverse_log_pl', 'normalised', 10,0.813
-'l1', 'normalised_with_identity', 5,0.4436
-'inverse_log_pl', 'euclidean_scaled', 50,0.9996
-'inverse_log_pl', 'normalised', 50,0.9992
-'l1', 'euclidean_scaled', 20,0.9532
-'geometric_mean', 'normalised_with_identity', 10,0.7706
-'l2', 'normalised', 300,1.9992
-'l1', 'normalised', 5,0.4384
-'cosine_distance', 'normalised_with_identity', 5,0.4398
-'l1', 'normalised_with_identity', 300,0.9578
-'inverse_log_pl', 'normalised_with_identity', 20,0.9826
-'inverse_log_pl', 'euclidean_scaled', 20,0.9786
-'harmonic_mean', 'normalised', 100,0.8316
-'l2', 'normalised', 10,1.2958
-'geometric_mean', 'normalised_with_identity', 5,0.464
-'l1', 'normalised_with_identity', 30,0.9562
-'cosine_distance', 'normalised', 20,0.9338
-'l1', 'normalised_with_identity', 10,0.7094
-'harmonic_mean', 'normalised_with_identity', 5,0.4542
-'geometric_mean', 'euclidean_scaled', 100,0.9992
-'inverse_log_pl', 'normalised', 30,0.995
-'l1', 'normalised', 30,0.9916
-'l2', 'normalised_with_identity', 300,1.9984
-'l2', 'euclidean_scaled', 30,1.9528
-'geometric_mean', 'euclidean_scaled', 50,0.9938
-'cosine_distance', 'euclidean_scaled', 10,0.7118
-'harmonic_mean', 'normalised', 50,0.7522
-'l1', 'normalised_with_identity', 50,0.9884
-'inverse_log_pl', 'normalised_with_identity', 30,0.9964
-'harmonic_mean', 'normalised', 30,0.2622
-'geometric_mean', 'normalised', 300,0.9986
-'inverse_log_pl', 'normalised_with_identity', 50,0.9994
-'inverse_log_pl', 'euclidean_scaled', 100,0.9998
-'cosine_distance', 'normalised', 10,0.7008
-'harmonic_mean', 'euclidean_scaled', 20,0.5326
-'l1', 'euclidean_scaled', 30,0.9896
-'inverse_log_pl', 'euclidean_scaled', 300,0.9994
-'inverse_log_pl', 'normalised_with_identity', 10,0.8118
-'geometric_mean', 'normalised', 50,0.9902
-'l1', 'euclidean_scaled', 50,0.9984
-'l2', 'normalised_with_identity', 5,0.8336
-'geometric_mean', 'normalised', 5,0.4578
-'l2', 'normalised', 50,1.9936
-'harmonic_mean', 'normalised_with_identity', 50,0.9532
-'cosine_distance', 'euclidean_scaled', 5,0.4254
-'geometric_mean', 'normalised', 20,0.9404
-'cosine_distance', 'normalised_with_identity', 10,0.7152
-'geometric_mean', 'normalised_with_identity', 30,0.9718
-'cosine_distance', 'euclidean_scaled', 30,0.9826
-'harmonic_mean', 'normalised_with_identity', 20,0.8938
-'l2', 'euclidean_scaled', 50,1.9918
-'l2', 'euclidean_scaled', 5,0.8332
-'harmonic_mean', 'normalised', 20,0.86
-'l1', 'normalised_with_identity', 20,0.9032
-'cosine_distance', 'normalised_with_identity', 300,0.9994
-'inverse_log_pl', 'normalised', 300,0.9996
-'l1', 'euclidean_scaled', 5,0.4422
-'harmonic_mean', 'euclidean_scaled', 30,0.5952
-'cosine_distance', 'normalised_with_identity', 100,0.999
-'l1', 'normalised', 20,0.9504
-'inverse_log_pl', 'euclidean_scaled', 10,0.8132
-'l2', 'normalised_with_identity', 30,1.8724
-'inverse_log_pl', 'normalised_with_identity', 5,0.4792
-'l2', 'normalised', 20,1.811
-'geometric_mean', 'normalised', 30,0.9208
-'cosine_distance', 'normalised_with_identity', 20,0.9368
-'cosine_distance', 'normalised', 100,0.9994
-'geometric_mean', 'normalised_with_identity', 20,0.9394
-'harmonic_mean', 'normalised_with_identity', 30,0.9188
-'geometric_mean', 'euclidean_scaled', 30,0.9554
-'geometric_mean', 'normalised_with_identity', 50,0.989
-'l2', 'normalised', 100,1.9992
-'cosine_distance', 'euclidean_scaled', 50,0.998
-'inverse_log_pl', 'normalised_with_identity', 300,0.9998
-'harmonic_mean', 'normalised_with_identity', 300,0.9526
-'inverse_log_pl', 'normalised', 100,0.9998
-'l1', 'normalised_with_identity', 100,0.9934
-'cosine_distance', 'normalised', 30,0.9816
-'harmonic_mean', 'normalised', 300,0.815
-'l1', 'normalised', 50,0.9986
-'cosine_distance', 'normalised', 300,0.9994
-'cosine_distance', 'euclidean_scaled', 20,0.9322
-'inverse_log_pl', 'euclidean_scaled', 5,0.4754
-'cosine_distance', 'normalised_with_identity', 30,0.9832
-'l2', 'euclidean_scaled', 20,1.8416
-'cosine_distance', 'normalised_with_identity', 50,0.9982
-'harmonic_mean', 'normalised', 10,0.6732
-'cosine_distance', 'euclidean_scaled', 100,0.9996
-'geometric_mean', 'normalised_with_identity', 100,0.9894
-'l2', 'normalised_with_identity', 100,1.9958
-'cosine_distance', 'euclidean_scaled', 300,0.9992
-'geometric_mean', 'normalised_with_identity', 300,0.9442
-'harmonic_mean', 'euclidean_scaled', 5,0.3516
-'geometric_mean', 'euclidean_scaled', 5,0.4426
-'harmonic_mean', 'euclidean_scaled', 10,0.4234
-'l2', 'normalised', 30,1.9426
-'geometric_mean', 'normalised', 100,0.999
-'geometric_mean', 'euclidean_scaled', 10,0.6498
-'geometric_mean', 'euclidean_scaled', 20,0.889
-'l1', 'euclidean_scaled', 300,0.9996
-'inverse_log_pl', 'euclidean_scaled', 30,0.9972
-'harmonic_mean', 'normalised_with_identity', 100,0.9694
-'harmonic_mean', 'euclidean_scaled', 300,0.4752
-'l1', 'euclidean_scaled', 100,1.0
-'l1', 'euclidean_scaled', 10,0.7564
-'harmonic_mean', 'euclidean_scaled', 100,0.5166
-'l1', 'normalised', 10,0.7374
-'geometric_mean', 'euclidean_scaled', 300,0.9996
+<<<<<<< HEAD
+,message_length
+scoring, 300, 100, 50, 30, 20, 10, 5
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+Pletters, 0.9994, 0.9994, 0.9994, 0.9966, 0.9778, 0.8174, 0.4712
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+cosine_distance + euclidean_scaled, 0.9996, 0.9996, 0.9974, 0.9836, 0.9356, 0.7124, 0.4218
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+cosine_distance + euclidean_scaled, 0.9996, 0.9996, 0.9974, 0.9836, 0.9356, 0.7124, 0.4218
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+cosine_distance + euclidean_scaled, 0.9996, 0.9996, 0.9974, 0.9836, 0.9356, 0.7124, 0.4218
+cosine_distance + euclidean_scaled, 0.9996, 0.9996, 0.9974, 0.9836, 0.9356, 0.7124, 0.4218
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+harmonic_mean + euclidean_scaled, 0.4688, 0.5122, 0.6894, 0.5948, 0.5258, 0.4426, 0.3642
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+l1 + euclidean_scaled, 0.9998, 0.9994, 0.9984, 0.9904, 0.9502, 0.7558, 0.4348
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+l2 + euclidean_scaled, 0.9996, 0.9988, 0.9992, 0.9786, 0.9368, 0.712, 0.4336
+l2 + euclidean_scaled, 0.9996, 0.9988, 0.9992, 0.9786, 0.9368, 0.712, 0.4336
+l2 + euclidean_scaled, 0.9996, 0.9988, 0.9992, 0.9786, 0.9368, 0.712, 0.4336
+l2 + euclidean_scaled, 0.9996, 0.9988, 0.9992, 0.9786, 0.9368, 0.712, 0.4336
+l2 + euclidean_scaled, 0.9996, 0.9988, 0.9992, 0.9786, 0.9368, 0.712, 0.4336
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+l2 + normalised, 0.9998, 0.999, 0.998, 0.9818, 0.933, 0.709, 0.4356
+l2 + normalised, 0.9998, 0.999, 0.998, 0.9818, 0.933, 0.709, 0.4356
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+l3 + euclidean_scaled, 0.9996, 0.999, 0.996, 0.9684, 0.8934, 0.6282, 0.4084
+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
+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
+l3 + normalised, 1.0, 0.9986, 0.9932, 0.963, 0.8696, 0.594, 0.4122
+=======
+"name",100,50,30,20,10,5\r
+"Pletters",4996,4997,4984,4900,4063,2358\r
+"cosine_similarity + euclidean_scaled",4998,4986,4914,4659,3528,2198\r
+"cosine_similarity + normalised",4997,4993,4917,4659,3557,2084\r
+"l1 + euclidean_scaled",4998,4992,4951,4755,3767,2192\r
+"l1 + normalised",4998,4996,4936,4767,3596,2161\r
+"l2 + euclidean_scaled",4998,4990,4926,4683,3567,2179\r
+"l2 + normalised",4995,4993,4920,4672,3610,2135\r
+"l3 + euclidean_scaled",4996,4964,4822,4457,3167,2018\r
+"l3 + normalised",4999,4973,4797,4351,2872,1989\r
+>>>>>>> 883806c... More tweaking
projects / cipher-tools.git / blobdiff