-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
+,message_length
+metric+scaling, 300,100,50,30,20,10,5
+l1:normalised, 0.9988, 0.9996, 0.9984, 0.9896, 0.953, 0.736, 0.44
+l1:euclidean_scaled, 0.9996, 1.0, 0.9988, 0.9896, 0.9518, 0.7536, 0.4418
+l1:normalised_with_identity, 0.9606, 0.9922, 0.988, 0.9644, 0.909, 0.7028, 0.4288
+l2:normalised, 0.9996, 0.9994, 0.9984, 0.981, 0.9302, 0.723, 0.4354
+l2:euclidean_scaled, 0.9992, 0.9992, 0.9984, 0.9836, 0.9298, 0.7116, 0.423
+l2:normalised_with_identity, 1.0, 0.9998, 0.9982, 0.986, 0.9322, 0.722, 0.4262
+l3:normalised, 0.9998, 0.999, 0.9952, 0.9536, 0.8742, 0.5964, 0.4078
+l3:euclidean_scaled, 0.9992, 0.9992, 0.9958, 0.9672, 0.8894, 0.6276, 0.4014
+l3:normalised_with_identity, 0.9998, 0.998, 0.97, 0.9002, 0.7686, 0.5484, 0.391
+cosine_distance:normalised, 0.999, 0.9994, 0.9984, 0.9854, 0.934, 0.7092, 0.4338
+cosine_distance:euclidean_scaled, 0.9996, 0.9992, 0.999, 0.9822, 0.9342, 0.7114, 0.4326
+cosine_distance:normalised_with_identity, 0.9994, 0.9994, 0.9984, 0.986, 0.9354, 0.7166, 0.4294
+harmonic_mean:normalised, 0.8154, 0.8382, 0.7618, 0.2696, 0.8678, 0.6736, 0.4566
+harmonic_mean:euclidean_scaled, 0.4756, 0.5108, 0.686, 0.6098, 0.5342, 0.4322, 0.3568
+harmonic_mean:normalised_with_identity, 0.9574, 0.969, 0.952, 0.9254, 0.897, 0.7368, 0.4434
+geometric_mean:normalised, 0.9996, 0.9996, 0.9914, 0.9178, 0.9368, 0.7114, 0.4562
+geometric_mean:euclidean_scaled, 0.9998, 0.999, 0.9962, 0.9534, 0.8824, 0.6548, 0.443
+geometric_mean:normalised_with_identity, 0.9426, 0.9872, 0.9848, 0.9694, 0.9358, 0.7654, 0.4582
+inverse_log_pl:normalised, 0.9994, 0.9996, 0.9992, 0.996, 0.98, 0.8088, 0.488
+inverse_log_pl:euclidean_scaled, 0.9998, 0.9998, 0.9996, 0.996, 0.9826, 0.817, 0.481
+inverse_log_pl:normalised_with_identity, 0.999, 0.9996, 0.9992, 0.9978, 0.9802, 0.8106, 0.483
projects / cipher-tools.git / blobdiff