Merge branch 'master' into neil
[cipher-tools.git] / caesar_break_parameter_trials.csv
1 l1, normalised_english_counts, normalise, 300, 0.9992
2 l1, normalised_english_counts, normalise, 100, 0.9996
3 l1, normalised_english_counts, normalise, 50, 0.9992
4 l1, normalised_english_counts, normalise, 30, 0.9914
5 l1, normalised_english_counts, normalise, 20, 0.9532
6 l1, normalised_english_counts, normalise, 10, 0.7442
7 l1, normalised_english_counts, normalise, 5, 0.4358
8 l1, normalised_english_counts, scale, 300, 1.0
9 l1, normalised_english_counts, scale, 100, 0.999
10 l1, normalised_english_counts, scale, 50, 0.9988
11 l1, normalised_english_counts, scale, 30, 0.9848
12 l1, normalised_english_counts, scale, 20, 0.9316
13 l1, normalised_english_counts, scale, 10, 0.715
14 l1, normalised_english_counts, scale, 5, 0.436
15 l1, scaled_english_counts, normalise, 300, 0.9994
16 l1, scaled_english_counts, normalise, 100, 0.9998
17 l1, scaled_english_counts, normalise, 50, 0.999
18 l1, scaled_english_counts, normalise, 30, 0.9868
19 l1, scaled_english_counts, normalise, 20, 0.9482
20 l1, scaled_english_counts, normalise, 10, 0.7434
21 l1, scaled_english_counts, normalise, 5, 0.4532
22 l1, scaled_english_counts, scale, 300, 0.9996
23 l1, scaled_english_counts, scale, 100, 1.0
24 l1, scaled_english_counts, scale, 50, 0.9988
25 l1, scaled_english_counts, scale, 30, 0.9874
26 l1, scaled_english_counts, scale, 20, 0.9488
27 l1, scaled_english_counts, scale, 10, 0.745
28 l1, scaled_english_counts, scale, 5, 0.4548
29 l2, normalised_english_counts, normalise, 300, 0.9994
30 l2, normalised_english_counts, normalise, 100, 0.9992
31 l2, normalised_english_counts, normalise, 50, 0.9978
32 l2, normalised_english_counts, normalise, 30, 0.9836
33 l2, normalised_english_counts, normalise, 20, 0.9318
34 l2, normalised_english_counts, normalise, 10, 0.7072
35 l2, normalised_english_counts, normalise, 5, 0.4294
36 l2, normalised_english_counts, scale, 300, 0.9988
37 l2, normalised_english_counts, scale, 100, 0.9998
38 l2, normalised_english_counts, scale, 50, 0.9978
39 l2, normalised_english_counts, scale, 30, 0.9868
40 l2, normalised_english_counts, scale, 20, 0.9364
41 l2, normalised_english_counts, scale, 10, 0.7136
42 l2, normalised_english_counts, scale, 5, 0.446
43 l2, scaled_english_counts, normalise, 300, 0.9992
44 l2, scaled_english_counts, normalise, 100, 0.9996
45 l2, scaled_english_counts, normalise, 50, 0.9984
46 l2, scaled_english_counts, normalise, 30, 0.9854
47 l2, scaled_english_counts, normalise, 20, 0.9328
48 l2, scaled_english_counts, normalise, 10, 0.7122
49 l2, scaled_english_counts, normalise, 5, 0.4328
50 l2, scaled_english_counts, scale, 300, 1.0
51 l2, scaled_english_counts, scale, 100, 0.9998
52 l2, scaled_english_counts, scale, 50, 0.9972
53 l2, scaled_english_counts, scale, 30, 0.9842
54 l2, scaled_english_counts, scale, 20, 0.9356
55 l2, scaled_english_counts, scale, 10, 0.7126
56 l2, scaled_english_counts, scale, 5, 0.4318
57 l3, normalised_english_counts, normalise, 300, 0.9996
58 l3, normalised_english_counts, normalise, 100, 0.999
59 l3, normalised_english_counts, normalise, 50, 0.994
60 l3, normalised_english_counts, normalise, 30, 0.9658
61 l3, normalised_english_counts, normalise, 20, 0.8926
62 l3, normalised_english_counts, normalise, 10, 0.6252
63 l3, normalised_english_counts, normalise, 5, 0.3974
64 l3, normalised_english_counts, scale, 300, 0.9996
65 l3, normalised_english_counts, scale, 100, 0.998
66 l3, normalised_english_counts, scale, 50, 0.9828
67 l3, normalised_english_counts, scale, 30, 0.9334
68 l3, normalised_english_counts, scale, 20, 0.8304
69 l3, normalised_english_counts, scale, 10, 0.5968
70 l3, normalised_english_counts, scale, 5, 0.4114
71 l3, scaled_english_counts, normalise, 300, 0.9994
72 l3, scaled_english_counts, normalise, 100, 0.9984
73 l3, scaled_english_counts, normalise, 50, 0.9876
74 l3, scaled_english_counts, normalise, 30, 0.9284
75 l3, scaled_english_counts, normalise, 20, 0.8322
76 l3, scaled_english_counts, normalise, 10, 0.579
77 l3, scaled_english_counts, normalise, 5, 0.3466
78 l3, scaled_english_counts, scale, 300, 1.0
79 l3, scaled_english_counts, scale, 100, 0.999
80 l3, scaled_english_counts, scale, 50, 0.994
81 l3, scaled_english_counts, scale, 30, 0.9688
82 l3, scaled_english_counts, scale, 20, 0.8952
83 l3, scaled_english_counts, scale, 10, 0.6416
84 l3, scaled_english_counts, scale, 5, 0.4042
85 cosine_distance, normalised_english_counts, normalise, 300, 0.9994
86 cosine_distance, normalised_english_counts, normalise, 100, 1.0
87 cosine_distance, normalised_english_counts, normalise, 50, 0.9978
88 cosine_distance, normalised_english_counts, normalise, 30, 0.9856
89 cosine_distance, normalised_english_counts, normalise, 20, 0.9374
90 cosine_distance, normalised_english_counts, normalise, 10, 0.7212
91 cosine_distance, normalised_english_counts, normalise, 5, 0.4282
92 cosine_distance, normalised_english_counts, scale, 300, 0.9998
93 cosine_distance, normalised_english_counts, scale, 100, 0.9994
94 cosine_distance, normalised_english_counts, scale, 50, 0.9972
95 cosine_distance, normalised_english_counts, scale, 30, 0.9846
96 cosine_distance, normalised_english_counts, scale, 20, 0.9324
97 cosine_distance, normalised_english_counts, scale, 10, 0.7144
98 cosine_distance, normalised_english_counts, scale, 5, 0.4284
99 cosine_distance, scaled_english_counts, normalise, 300, 0.9994
100 cosine_distance, scaled_english_counts, normalise, 100, 0.9996
101 cosine_distance, scaled_english_counts, normalise, 50, 0.9978
102 cosine_distance, scaled_english_counts, normalise, 30, 0.9856
103 cosine_distance, scaled_english_counts, normalise, 20, 0.935
104 cosine_distance, scaled_english_counts, normalise, 10, 0.7232
105 cosine_distance, scaled_english_counts, normalise, 5, 0.415
106 cosine_distance, scaled_english_counts, scale, 300, 0.9982
107 cosine_distance, scaled_english_counts, scale, 100, 0.9988
108 cosine_distance, scaled_english_counts, scale, 50, 0.9976
109 cosine_distance, scaled_english_counts, scale, 30, 0.9844
110 cosine_distance, scaled_english_counts, scale, 20, 0.9314
111 cosine_distance, scaled_english_counts, scale, 10, 0.7102
112 cosine_distance, scaled_english_counts, scale, 5, 0.4376
113 harmonic_mean, normalised_english_counts, normalise, 300, 0.4684
114 harmonic_mean, normalised_english_counts, normalise, 100, 0.5068
115 harmonic_mean, normalised_english_counts, normalise, 50, 0.6978
116 harmonic_mean, normalised_english_counts, normalise, 30, 0.593
117 harmonic_mean, normalised_english_counts, normalise, 20, 0.536
118 harmonic_mean, normalised_english_counts, normalise, 10, 0.4284
119 harmonic_mean, normalised_english_counts, normalise, 5, 0.3542
120 harmonic_mean, normalised_english_counts, scale, 300, 0.3602
121 harmonic_mean, normalised_english_counts, scale, 100, 0.57
122 harmonic_mean, normalised_english_counts, scale, 50, 0.795
123 harmonic_mean, normalised_english_counts, scale, 30, 0.7694
124 harmonic_mean, normalised_english_counts, scale, 20, 0.6924
125 harmonic_mean, normalised_english_counts, scale, 10, 0.559
126 harmonic_mean, normalised_english_counts, scale, 5, 0.39
127 harmonic_mean, scaled_english_counts, normalise, 300, 0.1214
128 harmonic_mean, scaled_english_counts, normalise, 100, 0.132
129 harmonic_mean, scaled_english_counts, normalise, 50, 0.1956
130 harmonic_mean, scaled_english_counts, normalise, 30, 0.2686
131 harmonic_mean, scaled_english_counts, normalise, 20, 0.258
132 harmonic_mean, scaled_english_counts, normalise, 10, 0.2042
133 harmonic_mean, scaled_english_counts, normalise, 5, 0.227
134 harmonic_mean, scaled_english_counts, scale, 300, 0.7956
135 harmonic_mean, scaled_english_counts, scale, 100, 0.5672
136 harmonic_mean, scaled_english_counts, scale, 50, 0.4404
137 harmonic_mean, scaled_english_counts, scale, 30, 0.3584
138 harmonic_mean, scaled_english_counts, scale, 20, 0.3012
139 harmonic_mean, scaled_english_counts, scale, 10, 0.2136
140 harmonic_mean, scaled_english_counts, scale, 5, 0.1426
141 geometric_mean, normalised_english_counts, normalise, 300, 0.9996
142 geometric_mean, normalised_english_counts, normalise, 100, 0.9992
143 geometric_mean, normalised_english_counts, normalise, 50, 0.9928
144 geometric_mean, normalised_english_counts, normalise, 30, 0.9552
145 geometric_mean, normalised_english_counts, normalise, 20, 0.8936
146 geometric_mean, normalised_english_counts, normalise, 10, 0.6582
147 geometric_mean, normalised_english_counts, normalise, 5, 0.4316
148 geometric_mean, normalised_english_counts, scale, 300, 0.97
149 geometric_mean, normalised_english_counts, scale, 100, 0.9762
150 geometric_mean, normalised_english_counts, scale, 50, 0.9724
151 geometric_mean, normalised_english_counts, scale, 30, 0.9224
152 geometric_mean, normalised_english_counts, scale, 20, 0.8496
153 geometric_mean, normalised_english_counts, scale, 10, 0.6846
154 geometric_mean, normalised_english_counts, scale, 5, 0.4268
155 geometric_mean, scaled_english_counts, normalise, 300, 0.9556
156 geometric_mean, scaled_english_counts, normalise, 100, 0.8724
157 geometric_mean, scaled_english_counts, normalise, 50, 0.7176
158 geometric_mean, scaled_english_counts, normalise, 30, 0.6536
159 geometric_mean, scaled_english_counts, normalise, 20, 0.5586
160 geometric_mean, scaled_english_counts, normalise, 10, 0.3926
161 geometric_mean, scaled_english_counts, normalise, 5, 0.319
162 geometric_mean, scaled_english_counts, scale, 300, 0.7822
163 geometric_mean, scaled_english_counts, scale, 100, 0.5784
164 geometric_mean, scaled_english_counts, scale, 50, 0.4318
165 geometric_mean, scaled_english_counts, scale, 30, 0.349
166 geometric_mean, scaled_english_counts, scale, 20, 0.2932
167 geometric_mean, scaled_english_counts, scale, 10, 0.2098
168 geometric_mean, scaled_english_counts, scale, 5, 0.1406