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detailed_results_all_tests.md

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ALL RESULTS

f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase scale C max_iter model
218 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg False True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
153 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 100 sg False True 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
116 0.919 0.829 0.911 3048.978 400000 39101.904 4853410 50 sg False True 1000.000 -1 2017-12-27_15-18-26-774110_custom_sg_50
273 0.919 0.833 0.911 17771.436 888237 76580.279 4853410 50 sg True True 1000.000 -1 2017-12-28_02-26-29-764191_custom_sg_50_lc
223 0.916 0.827 0.908 3555.012 400000 37524.886 4853410 50 sg True True 1000.000 -1 2017-12-27_16-04-30-255050_custom_sg_50_lc
96 0.915 0.820 0.905 20450.348 888237 151797.090 4853410 100 sg False False 1.000 -1 2017-12-27_20-32-36-436210_custom_sg_100
33 0.915 0.823 0.906 15864.287 888237 55171.940 4853410 25 sg False True 1000.000 -1 2017-12-27_22-47-40-379969_custom_sg_25
156 0.914 0.823 0.906 274.812 100000 13903.381 4853410 100 sg False True 1000.000 -1 2017-12-28_23-19-08-243621_custom_sg_100
69 0.913 0.840 0.912 21398.405 888237 103693.548 4853410 100 sg False False 1000.000 -1 2017-12-27_21-17-46-570928_custom_sg_100
65 0.913 0.822 0.904 231.515 100000 9107.019 4853410 50 sg False True 1000.000 -1 2017-12-28_23-19-08-102325_custom_sg_50
1 0.912 0.820 0.903 3160.537 400000 26096.499 4853410 25 sg False True 1000.000 -1 2017-12-27_15-17-56-769735_custom_sg_25
40 0.912 0.838 0.911 25090.170 888237 63566.798 4853410 50 sg False False 1000.000 -1 2017-12-27_21-13-28-291090_custom_sg_50
129 0.911 0.823 0.903 17623.970 888237 55885.969 4853410 25 sg True True 1000.000 -1 2017-12-28_02-25-12-852852_custom_sg_25_lc
41 0.911 0.830 0.905 4677.249 400000 52121.197 4853410 100 sg False False 1000.000 -1 2017-12-27_14-59-39-575316_custom_sg_100
166 0.911 0.818 0.902 20402.102 888237 143498.928 4853410 100 cb False True 1000.000 -1 2017-12-27_17-05-36-930416_custom_cb_100
265 0.910 0.817 0.901 3477.938 400000 67488.954 4853410 100 cb False False 1.000 -1 2017-12-27_13-50-44-759113_custom_cb_100
56 0.910 0.814 0.900 3919.788 400000 81193.453 4853410 100 sg False False 1.000 -1 2017-12-27_14-48-51-579692_custom_sg_100
99 0.909 0.839 0.904 23330.714 888237 98669.134 4853410 100 cb False False 1000.000 -1 2017-12-27_16-27-38-980261_custom_cb_100
22 0.909 0.837 0.909 35425.643 888237 44704.622 4853410 25 sg False False 1000.000 -1 2017-12-27_21-12-05-218522_custom_sg_25
250 0.909 0.829 0.902 16692.770 888237 119979.173 4853410 100 sg False True 1000.000 -1 2017-12-27_22-56-39-866778_custom_sg_100
267 0.908 0.839 0.904 23437.240 888237 111605.355 4853410 100 sg True False 1000.000 -1 2017-12-28_00-20-34-336753_custom_sg_100_lc
48 0.908 0.824 0.901 354.142 100000 12912.954 4853410 100 cb False False 1000.000 -1 2017-12-28_23-01-00-492493_custom_cb_100
173 0.908 0.830 0.902 5266.671 400000 29435.550 4853410 50 sg False False 1000.000 -1 2017-12-27_14-58-21-316019_custom_sg_50
168 0.908 0.839 0.904 28565.907 888237 66406.431 4853410 50 sg True False 1000.000 -1 2017-12-28_00-11-13-893375_custom_sg_50_lc
197 0.907 0.815 0.898 298.829 100000 21126.754 4853410 100 cb False False 2.000 -1 2017-12-28_23-11-10-562891_custom_cb_100
259 0.906 0.815 0.897 19937.755 888237 150913.490 4853410 100 cb True True 1000.000 -1 2017-12-27_19-22-12-541415_custom_cb_100_lc
61 0.906 0.816 0.897 3740.246 400000 26771.125 4853410 25 sg True True 1000.000 -1 2017-12-27_16-03-01-467446_custom_sg_25_lc
254 0.906 0.830 0.899 18397.350 888237 127135.710 4853410 100 sg True True 1000.000 -1 2017-12-28_02-39-19-792173_custom_sg_100_lc
32 0.906 0.836 0.900 5424.039 400000 52855.696 4853410 100 sg True False 1000.000 -1 2017-12-27_15-47-09-435024_custom_sg_100_lc
219 0.905 0.822 0.899 6971.193 400000 20499.675 4853410 25 sg False False 1000.000 -1 2017-12-27_14-58-11-339731_custom_sg_25
4 0.905 0.834 0.899 32023.608 888237 46409.788 4853410 25 cb False False 1000.000 -1 2017-12-27_16-26-41-290445_custom_cb_25
124 0.905 0.810 0.895 15595.309 888237 91862.775 4853410 50 cb False True 1000.000 -1 2017-12-27_17-05-31-643974_custom_cb_50
148 0.904 0.835 0.899 28973.928 888237 116039.513 4853410 100 cb True False 1000.000 -1 2017-12-27_17-52-38-479635_custom_cb_100_lc
31 0.904 0.830 0.899 5992.963 400000 31524.904 4853410 50 sg True False 1000.000 -1 2017-12-27_15-43-28-573635_custom_sg_50_lc
184 0.904 0.812 0.895 3943.137 400000 70177.555 4853410 100 cb True True 1000.000 -1 2017-12-27_14-41-16-278923_custom_cb_100_lc
10 0.904 0.823 0.896 3849.096 400000 64946.726 4853410 100 sg True True 1000.000 -1 2017-12-27_16-06-29-625984_custom_sg_100_lc
104 0.903 0.832 0.897 5079.797 400000 52053.146 4853410 100 cb False False 1000.000 -1 2017-12-27_13-50-45-918565_custom_cb_100
62 0.903 0.826 0.897 336.744 100000 11419.134 4853410 100 sg False False 1000.000 -1 2017-12-28_23-18-01-162429_custom_sg_100
247 0.903 0.834 0.899 35969.138 888237 44937.939 4853410 25 sg True False 1000.000 -1 2017-12-28_00-08-01-763008_custom_sg_25_lc
27 0.903 0.809 0.893 306.910 100000 18642.162 4853410 100 cb False False 1.000 -1 2017-12-28_23-14-06-624693_custom_cb_100
102 0.903 0.809 0.893 330.343 100000 17899.076 4853410 100 cb False False 1.000 -1 2017-12-28_22-58-42-724695_custom_cb_100
229 0.903 0.811 0.893 17931.447 888237 94239.550 4853410 50 cb True True 1000.000 -1 2017-12-27_19-12-12-165242_custom_cb_50_lc
130 0.902 0.834 0.897 29873.209 888237 70910.906 4853410 50 cb True False 1000.000 -1 2017-12-27_17-43-51-770300_custom_cb_50_lc
195 0.901 0.810 0.893 258.263 100000 16530.203 4853410 100 cb False True 1000.000 -1 2017-12-28_23-07-30-060048_custom_cb_100
212 0.901 0.824 0.896 5242.984 400000 31473.532 4853410 50 cb False False 1000.000 -1 2017-12-27_13-50-54-993549_custom_cb_50
199 0.900 0.831 0.895 59476.173 888237 35250.360 4853410 12 cb False False 1000.000 -1 2017-12-28_22-20-19-011109_custom_cb_12
141 0.900 0.819 0.895 390.166 100000 6891.405 4853410 50 sg False False 1000.000 -1 2017-12-28_23-17-58-674799_custom_sg_50
232 0.900 0.810 0.892 12458.187 888237 91340.325 4853410 50 sg False False 1.000 -1 2017-12-27_20-12-04-174175_custom_sg_50
255 0.900 0.817 0.892 11756.204 888237 82620.388 4853410 50 cb False False 1.000 -1 2017-12-27_16-17-19-165200_custom_cb_50
237 0.900 0.827 0.895 7742.152 400000 22130.460 4853410 25 sg True False 1000.000 -1 2017-12-27_15-43-28-573635_custom_sg_25_lc
100 0.900 0.833 0.895 34816.988 888237 47510.112 4853410 25 cb True False 1000.000 -1 2017-12-27_17-42-23-807568_custom_cb_25_lc
161 0.900 0.803 0.889 28064.036 888237 191891.239 4853410 100 sg False True 1.000 -1 2017-12-27_22-06-20-456742_custom_sg_100
92 0.900 0.802 0.889 331.967 100000 23316.698 4853410 100 sg False False 1.000 -1 2017-12-28_23-16-40-818022_custom_sg_100
87 0.899 0.805 0.889 25996.439 888237 191850.846 4853410 100 sg True True 1.000 -1 2017-12-28_01-40-04-057460_custom_sg_100_lc
245 0.899 0.815 0.891 17200.679 888237 138778.787 4853410 100 cb False False 1.000 -1 2017-12-27_16-17-40-619245_custom_cb_100
208 0.899 0.818 0.891 8877.540 888237 58411.678 4853410 25 cb False False 1.000 -1 2017-12-27_16-15-40-395770_custom_cb_25
143 0.899 0.825 0.893 5411.014 400000 54173.673 4853410 100 cb True False 1000.000 -1 2017-12-27_14-21-07-836254_custom_cb_100_lc
217 0.898 0.818 0.891 13787.592 888237 85209.436 4853410 50 cb True False 1.000 -1 2017-12-27_17-23-30-879849_custom_cb_50_lc
98 0.898 0.803 0.888 13586.889 888237 69792.411 4853410 25 cb False True 1000.000 -1 2017-12-27_17-03-54-291964_custom_cb_25
222 0.898 0.806 0.889 3295.915 400000 46911.170 4853410 50 cb True True 1000.000 -1 2017-12-27_14-40-35-560963_custom_cb_50_lc
165 0.897 0.812 0.889 2386.874 400000 38956.382 4853410 50 cb False False 1.000 -1 2017-12-27_13-51-00-180313_custom_cb_50
59 0.897 0.808 0.889 28722.605 888237 156474.199 4853410 100 sg True False 1.000 -1 2017-12-27_23-36-02-819608_custom_sg_100_lc
233 0.897 0.811 0.888 15997.846 888237 94975.043 4853410 50 sg True False 1.000 -1 2017-12-27_23-27-17-300817_custom_sg_50_lc
38 0.897 0.805 0.887 14157.858 888237 65731.569 4853410 25 cb True True 1000.000 -1 2017-12-27_18-51-32-450982_custom_cb_25_lc
75 0.897 0.812 0.890 11668.038 400000 16758.697 4853410 12 cb False False 1000.000 -1 2017-12-27_13-50-59-765462_custom_cb_12
81 0.897 0.819 0.890 484.388 100000 4757.710 4853410 25 sg False False 1000.000 -1 2017-12-28_23-17-08-589960_custom_sg_25
86 0.896 0.814 0.888 17575.119 888237 143347.333 4853410 100 cb True False 1.000 -1 2017-12-27_17-24-09-040540_custom_cb_100_lc
118 0.896 0.816 0.889 9308.085 888237 60126.975 4853410 25 cb True False 1.000 -1 2017-12-27_17-18-47-140963_custom_cb_25_lc
249 0.896 0.804 0.888 2640.337 400000 49464.416 4853410 50 sg False False 1.000 -1 2017-12-27_14-48-19-552091_custom_sg_50
23 0.896 0.805 0.888 8940.184 888237 62109.571 4853410 25 sg False False 1.000 -1 2017-12-27_20-09-23-445098_custom_sg_25
123 0.896 0.824 0.890 5789.933 400000 32853.746 4853410 50 cb True False 1000.000 -1 2017-12-27_14-19-18-917940_custom_cb_50_lc
17 0.896 0.812 0.887 1645.298 400000 25590.528 4853410 25 cb False False 1.000 -1 2017-12-27_13-50-59-210205_custom_cb_25
29 0.895 0.818 0.889 7135.986 400000 20575.024 4853410 25 cb False False 1000.000 -1 2017-12-27_13-51-00-123837_custom_cb_25
50 0.895 0.811 0.887 2369.430 400000 39792.612 4853410 50 cb True False 1.000 -1 2017-12-27_14-08-41-833708_custom_cb_50_lc
291 0.895 0.798 0.884 6090.454 400000 96239.736 4853410 100 sg False True 1.000 -1 2017-12-27_15-13-55-596012_custom_sg_100
109 0.894 0.797 0.885 243.980 100000 9500.206 4853410 50 cb False True 1000.000 -1 2017-12-28_23-07-09-120812_custom_cb_50
157 0.894 0.828 0.889 58524.975 888237 37645.068 4853410 12 cb True False 1000.000 -1 2017-12-28_22-21-09-664416_custom_cb_12_lc
16 0.894 0.798 0.884 5818.845 400000 96191.814 4853410 100 sg True True 1.000 -1 2017-12-27_15-56-12-108388_custom_sg_100_lc
198 0.894 0.809 0.885 179.664 100000 8687.068 4853410 50 cb False False 2.000 -1 2017-12-28_23-10-02-878391_custom_cb_50
132 0.893 0.807 0.885 4412.482 400000 68520.933 4853410 100 cb False True 1000.000 -1 2017-12-27_14-00-26-239678_custom_cb_100
293 0.893 0.811 0.885 1737.878 400000 26471.175 4853410 25 cb True False 1.000 -1 2017-12-27_14-06-52-474363_custom_cb_25_lc
186 0.893 0.808 0.885 3485.455 400000 66691.822 4853410 100 cb True False 1.000 -1 2017-12-27_14-09-00-687871_custom_cb_100_lc
286 0.893 0.806 0.884 2713.785 400000 46739.101 4853410 50 sg True False 1.000 -1 2017-12-27_15-32-17-521091_custom_sg_50_lc
180 0.893 0.801 0.884 3958.496 400000 76757.928 4853410 100 sg True False 1.000 -1 2017-12-27_15-32-28-317315_custom_sg_100_lc
95 0.892 0.803 0.884 10716.678 888237 71292.068 4853410 25 sg True False 1.000 -1 2017-12-27_23-26-26-639889_custom_sg_25_lc
117 0.892 0.810 0.884 123.872 100000 5945.656 4853410 25 cb False False 2.000 -1 2017-12-28_23-09-48-370724_custom_cb_25
253 0.892 0.796 0.882 2983.549 400000 32123.336 4853410 25 cb False True 1000.000 -1 2017-12-27_13-58-28-569109_custom_cb_25
9 0.892 0.800 0.882 2928.481 400000 30343.188 4853410 25 cb True True 1000.000 -1 2017-12-27_14-40-35-953951_custom_cb_25_lc
103 0.892 0.807 0.883 186.589 100000 9646.788 4853410 50 cb False False 1.000 -1 2017-12-28_22-43-05-837414_custom_cb_50
58 0.892 0.807 0.883 178.658 100000 10124.523 4853410 50 cb False False 1.000 -1 2017-12-28_23-14-04-464543_custom_cb_50
236 0.892 0.807 0.883 185.933 100000 9611.001 4853410 50 cb False False 1.000 -1 2017-12-28_22-58-42-727462_custom_cb_50
42 0.892 0.797 0.883 1752.500 400000 29339.739 4853410 25 sg False False 1.000 -1 2017-12-27_14-48-21-804929_custom_sg_25
34 0.892 0.812 0.884 6584.232 888237 42002.969 4853410 12 cb False False 1.000 -1 2017-12-27_16-13-11-857934_custom_cb_12
246 0.891 0.801 0.884 264.044 100000 6583.355 4853410 25 sg False True 1000.000 -1 2017-12-28_23-19-12-494932_custom_sg_25
55 0.890 0.821 0.884 82421.211 888237 40305.794 4853410 12 sg False False 1000.000 -1 2017-12-30_12-29-02-407561_custom_sg_12
152 0.890 0.807 0.882 161.807 100000 6571.172 4853410 25 cb False False 1.000 -1 2017-12-28_23-13-08-080026_custom_cb_25
122 0.890 0.807 0.882 132.685 100000 6194.834 4853410 25 cb False False 1.000 -1 2017-12-28_22-58-42-698919_custom_cb_25
191 0.890 0.807 0.882 97.127 100000 6167.639 4853410 25 cb False False 1.000 -1 2017-12-28_22-43-05-761939_custom_cb_25
85 0.890 0.817 0.884 11953.614 400000 16729.198 4853410 12 cb True False 1000.000 -1 2017-12-27_14-17-40-839164_custom_cb_12_lc
182 0.890 0.820 0.884 7678.476 400000 22493.953 4853410 25 cb True False 1000.000 -1 2017-12-27_14-18-34-092702_custom_cb_25_lc
289 0.890 0.793 0.879 21654.988 888237 125727.387 4853410 50 sg True True 1.000 -1 2017-12-28_01-37-07-410874_custom_sg_50_lc
298 0.890 0.791 0.879 19597.330 888237 125809.377 4853410 50 sg False True 1.000 -1 2017-12-27_21-55-22-817151_custom_sg_50
150 0.888 0.806 0.879 1328.777 400000 19692.659 4853410 12 cb False False 1.000 -1 2017-12-27_13-50-36-012081_custom_cb_12
3 0.887 0.800 0.878 3294.728 400000 44535.335 4853410 50 cb False True 1000.000 -1 2017-12-27_13-59-13-036163_custom_cb_50
299 0.887 0.809 0.880 6834.448 888237 43740.442 4853410 12 cb True False 1.000 -1 2017-12-27_17-18-08-800557_custom_cb_12_lc
263 0.887 0.795 0.879 1833.298 400000 31785.652 4853410 25 sg True False 1.000 -1 2017-12-27_15-30-22-831284_custom_sg_25_lc
88 0.886 0.802 0.880 747.520 100000 3917.671 4853410 12 cb False False 1000.000 -1 2017-12-28_22-58-42-719447_custom_cb_12
243 0.886 0.793 0.877 162.635 100000 7994.588 4853410 25 cb False True 1000.000 -1 2017-12-28_23-07-00-174333_custom_cb_25
277 0.886 0.806 0.880 404.993 100000 8024.823 4853410 50 cb False False 1000.000 -1 2017-12-28_23-00-18-177807_custom_cb_50
296 0.885 0.789 0.874 13871.547 888237 58613.677 4853410 12 cb False True 1000.000 -1 2017-12-27_17-02-33-865346_custom_cb_12
7 0.885 0.819 0.881 91498.211 888237 41965.706 4853410 12 sg True False 1000.000 -1 2017-12-30_12-29-02-407601_custom_sg_12_lc
25 0.884 0.788 0.875 138.041 100000 7751.145 4853410 25 sg False False 1.000 -1 2017-12-28_23-15-55-799515_custom_sg_25
169 0.884 0.793 0.875 225.213 100000 12586.284 4853410 50 sg False False 1.000 -1 2017-12-28_23-16-15-047962_custom_sg_50
18 0.884 0.783 0.873 4443.197 400000 63173.908 4853410 50 sg False True 1.000 -1 2017-12-27_15-13-27-424341_custom_sg_50
260 0.884 0.802 0.876 76.360 100000 4633.169 4853410 12 cb False False 2.000 -1 2017-12-28_23-08-40-894886_custom_cb_12
134 0.884 0.803 0.876 1328.706 400000 20302.142 4853410 12 cb True False 1.000 -1 2017-12-27_14-05-37-696747_custom_cb_12_lc
138 0.884 0.810 0.877 18437.879 400000 19136.976 4853410 12 sg False False 1000.000 -1 2017-12-27_14-55-12-515864_custom_sg_12
26 0.882 0.799 0.874 75.037 100000 4809.545 4853410 12 cb False False 1.000 -1 2017-12-28_22-43-05-761920_custom_cb_12
113 0.882 0.799 0.874 87.681 100000 4886.896 4853410 12 cb False False 1.000 -1 2017-12-28_22-58-42-698901_custom_cb_12
257 0.882 0.799 0.874 93.635 100000 6443.120 4853410 12 cb False False 1.000 -1 2017-12-28_23-12-24-906972_custom_cb_12
266 0.881 0.779 0.870 15383.786 888237 88083.032 4853410 25 sg False True 1.000 -1 2017-12-27_21-54-48-754788_custom_sg_25
106 0.880 0.809 0.875 19842.155 400000 19502.983 4853410 12 sg True False 1000.000 -1 2017-12-27_15-41-13-396173_custom_sg_12_lc
196 0.879 0.783 0.868 2599.263 400000 25701.491 4853410 12 cb False True 1000.000 -1 2017-12-27_13-56-01-125827_custom_cb_12
234 0.878 0.805 0.872 426.604 100000 4910.474 4853410 25 cb False False 1000.000 -1 2017-12-28_23-00-18-094818_custom_cb_25
80 0.878 0.778 0.867 17609.960 888237 89320.059 4853410 25 sg True True 1.000 -1 2017-12-28_01-21-00-582820_custom_sg_25_lc
285 0.878 0.784 0.867 16748.867 888237 54329.111 4853410 12 cb True True 1000.000 -1 2017-12-27_18-43-46-688347_custom_cb_12_lc
297 0.878 0.780 0.866 669.987 100000 32688.943 4853410 100 sg False True 1.000 -1 2017-12-28_23-18-47-085688_custom_sg_100
177 0.876 0.778 0.864 35631.366 888237 225670.723 4853410 100 cb False True 1.000 -1 2017-12-27_16-48-55-567756_custom_cb_100
188 0.875 0.782 0.865 36304.535 888237 220033.988 4853410 100 cb True True 1.000 -1 2017-12-27_18-08-38-106115_custom_cb_100_lc
57 0.874 0.771 0.862 3136.032 400000 46515.615 4853410 25 sg False True 1.000 -1 2017-12-27_15-10-35-614258_custom_sg_25
105 0.874 0.780 0.863 2979.032 400000 25661.497 4853410 12 cb True True 1000.000 -1 2017-12-27_14-40-36-272153_custom_cb_12_lc
135 0.873 0.795 0.865 1244.394 100000 4506.445 4853410 12 sg False False 1000.000 -1 2017-12-28_23-16-54-198173_custom_sg_12
72 0.872 0.775 0.860 27051.724 888237 134149.835 4853410 50 cb True True 1.000 -1 2017-12-27_18-06-04-982564_custom_cb_50_lc
252 0.871 0.764 0.859 3167.106 400000 44992.788 4853410 25 sg True True 1.000 -1 2017-12-27_15-55-02-683472_custom_sg_25_lc
178 0.871 0.781 0.861 4960.250 400000 63873.835 4853410 50 sg True True 1.000 -1 2017-12-27_15-55-57-536229_custom_sg_50_lc
12 0.871 0.774 0.859 23585.268 888237 137499.426 4853410 50 cb False True 1.000 -1 2017-12-27_16-47-59-263281_custom_cb_50
28 0.869 0.771 0.858 153.603 100000 6319.970 4853410 12 cb False True 1000.000 -1 2017-12-28_23-05-58-664708_custom_cb_12
54 0.868 0.761 0.854 311.797 100000 20115.621 4853410 50 sg False True 1.000 -1 2017-12-28_23-18-32-055679_custom_sg_50
264 0.864 0.756 0.851 243.990 100000 13953.580 4853410 25 sg False True 1.000 -1 2017-12-28_23-18-19-601248_custom_sg_25
149 0.864 0.766 0.852 7504.671 400000 110062.697 4853410 100 cb False True 1.000 -1 2017-12-27_13-50-59-998470_custom_cb_100
251 0.863 0.767 0.851 7195.261 400000 108775.842 4853410 100 cb True True 1.000 -1 2017-12-27_14-34-56-527478_custom_cb_100_lc
200 0.863 0.764 0.850 16314.171 888237 93736.256 4853410 25 cb True True 1.000 -1 2017-12-27_18-05-35-697661_custom_cb_25_lc
90 0.861 0.764 0.849 5482.519 400000 69696.628 4853410 50 cb False True 1.000 -1 2017-12-27_13-51-21-662230_custom_cb_50
248 0.861 0.763 0.849 5771.037 400000 67689.897 4853410 50 cb True True 1.000 -1 2017-12-27_14-33-59-930886_custom_cb_50_lc
46 0.857 0.775 0.847 9846.452 888237 67861.969 4853410 12 sg True False 1.000 -1 2017-12-27_23-24-41-613244_custom_sg_12_lc
97 0.857 0.756 0.844 579.680 100000 31432.429 4853410 100 cb False True 2.000 -1 2017-12-28_23-11-55-780714_custom_cb_100
279 0.856 0.756 0.843 17290.419 888237 94402.240 4853410 25 cb False True 1.000 -1 2017-12-27_16-45-00-598435_custom_cb_25
39 0.853 0.753 0.840 3492.374 400000 47537.978 4853410 25 cb True True 1.000 -1 2017-12-27_14-31-48-238149_custom_cb_25_lc
225 0.852 0.751 0.838 364.327 100000 17985.490 4853410 50 cb False True 2.000 -1 2017-12-28_23-11-53-795634_custom_cb_50
239 0.851 0.764 0.842 9982.438 888237 64199.320 4853410 12 sg False False 1.000 -1 2017-12-27_20-02-41-569915_custom_sg_12
158 0.849 0.769 0.840 30560.310 888237 57865.052 4853410 12 sg True True 1000.000 -1 2017-12-28_02-13-36-439005_custom_sg_12_lc
270 0.848 0.745 0.834 4278.206 400000 47557.356 4853410 25 cb False True 1.000 -1 2017-12-27_13-50-45-162770_custom_cb_25
201 0.847 0.761 0.837 31285.913 888237 64776.993 4853410 12 sg False True 1000.000 -1 2017-12-27_22-45-48-605049_custom_sg_12
176 0.845 0.762 0.836 1647.920 400000 28551.975 4853410 12 sg True False 1.000 -1 2017-12-27_15-30-08-917499_custom_sg_12_lc
110 0.844 0.740 0.829 14954.420 888237 78418.303 4853410 12 cb False True 1.000 -1 2017-12-27_16-44-13-523980_custom_cb_12
170 0.843 0.763 0.834 6852.420 400000 34254.906 4853410 12 sg True True 1000.000 -1 2017-12-27_16-02-06-363823_custom_sg_12_lc
163 0.843 0.752 0.833 1703.320 400000 29935.521 4853410 12 sg False False 1.000 -1 2017-12-27_14-46-33-328242_custom_sg_12
14 0.842 0.737 0.826 215.773 100000 12919.965 4853410 25 cb False True 2.000 -1 2017-12-28_23-11-19-144481_custom_cb_25
19 0.841 0.738 0.825 3442.121 400000 38003.919 4853410 12 cb False True 1.000 -1 2017-12-27_13-51-26-764919_custom_cb_12
204 0.840 0.734 0.824 673.444 100000 32453.124 4853410 100 cb False True 1.000 -1 2017-12-28_23-05-21-912796_custom_cb_100
292 0.837 0.750 0.828 6147.025 400000 28085.539 4853410 12 sg False True 1000.000 -1 2017-12-27_15-17-40-482036_custom_sg_12
8 0.837 0.729 0.820 436.075 100000 20229.699 4853410 50 cb False True 1.000 -1 2017-12-28_23-05-03-492752_custom_cb_50
74 0.834 0.730 0.820 18562.319 888237 80986.274 4853410 12 cb True True 1.000 -1 2017-12-27_18-03-30-856331_custom_cb_12_lc
262 0.829 0.723 0.813 405.036 100000 13576.439 4853410 25 cb False True 1.000 -1 2017-12-28_23-04-19-023997_custom_cb_25
111 0.828 0.739 0.819 511.506 100000 6726.976 4853410 12 sg False True 1000.000 -1 2017-12-28_23-19-12-444311_custom_sg_12
261 0.826 0.698 0.809 164.225 100000 9048.362 4853410 12 cb False True 2.000 -1 2017-12-28_23-11-16-482524_custom_cb_12
190 0.825 0.731 0.816 108.108 100000 8476.067 4853410 12 sg False False 1.000 -1 2017-12-28_23-15-00-606630_custom_sg_12
226 0.820 0.709 0.804 2596.910 400000 37621.924 4853410 12 cb True True 1.000 -1 2017-12-27_14-30-55-352427_custom_cb_12_lc
280 0.815 0.687 0.797 183.837 100000 10009.056 4853410 12 cb False True 1.000 -1 2017-12-28_23-01-54-172509_custom_cb_12
136 0.809 0.713 0.796 18476.170 888237 93001.545 4853410 12 sg True True 1.000 -1 2017-12-28_01-20-34-627134_custom_sg_12_lc
185 0.800 0.706 0.787 3031.497 400000 46630.751 4853410 12 sg True True 1.000 -1 2017-12-27_15-54-20-310665_custom_sg_12_lc
171 0.789 0.683 0.774 21963.992 888237 102377.669 4853410 12 sg False True 1.000 -1 2017-12-27_21-45-01-765394_custom_sg_12
209 0.781 0.652 0.765 3425.420 400000 49425.016 4853410 12 sg False True 1.000 -1 2017-12-27_15-07-14-171208_custom_sg_12
114 0.749 0.608 0.731 243.203 100000 12696.920 4853410 12 sg False True 1.000 -1 2017-12-28_23-18-03-379588_custom_sg_12
108 0.546 0.520 0.558 1144.063 400000 23828.060 4853410 50 sg False True 1.000 1000 2017-12-27_15-15-05-403063_custom_sg_50
214 0.534 0.530 0.550 1143.400 400000 30441.943 4853410 100 sg False False 1.000 1000 2017-12-27_14-54-15-566790_custom_sg_100
137 0.526 0.595 0.535 657.084 400000 15903.279 4853410 50 cb True False 1.000 1000 2017-12-27_14-16-04-298270_custom_cb_50_lc
2 0.518 0.463 0.543 313.230 400000 7624.190 4853410 25 sg False True 1000.000 1000 2017-12-27_15-26-56-392248_custom_sg_25
281 0.515 0.558 0.503 1031.845 400000 28635.284 4853410 100 cb True False 1.000 1000 2017-12-27_14-16-40-214925_custom_cb_100_lc
282 0.515 0.523 0.542 421.187 400000 13629.748 4853410 50 sg True False 1000.000 1000 2017-12-27_15-51-16-895583_custom_sg_50_lc
70 0.514 0.535 0.517 1583.845 400000 36955.212 4853410 100 cb True True 1.000 1000 2017-12-27_14-40-32-850011_custom_cb_100_lc
89 0.512 0.420 0.540 289.173 400000 7785.429 4853410 25 sg True False 1000.000 1000 2017-12-27_15-50-05-028932_custom_sg_25_lc
290 0.511 0.562 0.536 662.533 400000 21503.850 4853410 100 sg True True 1000.000 1000 2017-12-27_16-13-06-347558_custom_sg_100_lc
175 0.510 0.451 0.482 2239.560 888237 20054.647 4853410 25 sg True True 1.000 1000 2017-12-28_02-01-52-790584_custom_sg_25_lc
120 0.507 0.523 0.527 756.424 400000 16587.894 4853410 50 sg False False 1.000 1000 2017-12-27_14-53-34-952956_custom_sg_50
274 0.496 0.467 0.490 1088.507 400000 22312.365 4853410 50 sg True True 1.000 1000 2017-12-27_15-59-00-616459_custom_sg_50_lc
84 0.495 0.461 0.494 2754.428 888237 26881.714 4853410 50 sg True True 1.000 1000 2017-12-28_02-08-58-160829_custom_sg_50_lc
207 0.495 0.492 0.505 1665.992 400000 36231.709 4853410 100 sg False True 1.000 1000 2017-12-27_15-15-34-009830_custom_sg_100
63 0.495 0.487 0.506 1541.111 400000 36390.437 4853410 100 sg True True 1.000 1000 2017-12-27_16-01-06-535984_custom_sg_100_lc
159 0.493 0.511 0.522 3040.085 888237 39845.406 4853410 100 sg False False 1.000 1000 2017-12-27_21-04-33-558167_custom_sg_100
213 0.492 0.506 0.520 629.753 400000 20553.783 4853410 100 sg True False 1000.000 1000 2017-12-27_15-51-26-757948_custom_sg_100_lc
52 0.491 0.492 0.503 3640.868 888237 42347.847 4853410 100 sg True True 1.000 1000 2017-12-28_02-11-23-114658_custom_sg_100_lc
288 0.489 0.489 0.498 3803.489 888237 44222.841 4853410 100 sg False True 1.000 1000 2017-12-27_22-44-13-168645_custom_sg_100
11 0.476 0.503 0.483 1095.694 400000 31536.097 4853410 100 sg True False 1.000 1000 2017-12-27_15-40-36-193993_custom_sg_100_lc
83 0.475 0.525 0.467 284.268 400000 7513.213 4853410 12 cb True False 1.000 1000 2017-12-27_14-12-49-775355_custom_cb_12_lc
0 0.472 0.413 0.494 936.484 888237 10503.595 4853410 25 sg True True 1000.000 1000 2017-12-28_02-55-01-803920_custom_sg_25_lc
179 0.469 0.463 0.475 311.585 400000 8373.914 4853410 25 sg True True 1000.000 1000 2017-12-27_16-10-19-794982_custom_sg_25_lc
20 0.468 0.424 0.485 704.728 400000 14245.223 4853410 50 cb False True 1000.000 1000 2017-12-27_14-04-10-613384_custom_cb_50
49 0.467 0.466 0.511 448.289 400000 11602.022 4853410 50 sg False False 1000.000 1000 2017-12-27_15-06-19-187193_custom_sg_50
126 0.465 0.407 0.485 769.052 400000 15928.100 4853410 25 sg False True 1.000 1000 2017-12-27_15-14-20-421767_custom_sg_25
21 0.463 0.480 0.485 3067.001 888237 36727.083 4853410 100 sg True False 1.000 1000 2017-12-27_23-55-38-028574_custom_sg_100_lc
193 0.463 0.455 0.514 867.934 400000 22966.414 4853410 100 cb False True 1000.000 1000 2017-12-27_14-04-25-184070_custom_cb_100
147 0.462 0.490 0.480 484.504 400000 12406.321 4853410 50 sg False True 1000.000 1000 2017-12-27_15-27-17-437281_custom_sg_50
66 0.461 0.494 0.456 722.641 400000 18449.901 4853410 50 sg True False 1.000 1000 2017-12-27_15-35-39-502191_custom_sg_50_lc
271 0.460 0.460 0.465 480.844 400000 11055.435 4853410 25 sg False False 1.000 1000 2017-12-27_14-51-29-504460_custom_sg_25
45 0.457 0.446 0.482 466.294 400000 12514.808 4853410 50 sg True True 1000.000 1000 2017-12-27_16-10-46-765118_custom_sg_50_lc
287 0.454 0.424 0.456 2864.705 888237 29046.785 4853410 50 sg False True 1.000 1000 2017-12-27_22-38-32-592295_custom_sg_50
112 0.454 0.429 0.466 870.501 400000 16269.997 4853410 25 sg True True 1.000 1000 2017-12-27_15-58-26-377965_custom_sg_25_lc
231 0.452 0.489 0.481 692.810 400000 20233.078 4853410 100 sg False True 1000.000 1000 2017-12-27_15-29-31-967228_custom_sg_100
235 0.443 0.448 0.431 366.612 400000 10655.473 4853410 12 sg False False 1.000 1000 2017-12-27_14-48-57-638376_custom_sg_12
139 0.437 0.470 0.429 1089.323 400000 26458.968 4853410 100 cb False False 1.000 1000 2017-12-27_13-50-42-760616_custom_cb_100
119 0.435 0.458 0.473 773.926 400000 22792.236 4853410 100 cb True True 1000.000 1000 2017-12-27_14-45-18-511541_custom_cb_100_lc
93 0.435 0.480 0.460 1782.515 400000 36686.708 4853410 100 cb False True 1.000 1000 2017-12-27_13-55-53-593479_custom_cb_100
94 0.434 0.438 0.444 1392.115 888237 14194.380 4853410 25 sg True False 1.000 1000 2017-12-27_23-44-37-586456_custom_sg_25_lc
115 0.433 0.429 0.438 470.697 400000 11193.155 4853410 25 sg True False 1.000 1000 2017-12-27_15-35-30-445267_custom_sg_25_lc
30 0.433 0.431 0.462 1853.103 888237 28261.223 4853410 100 sg True True 1000.000 1000 2017-12-28_02-57-58-729932_custom_sg_100_lc
221 0.432 0.447 0.439 1113.834 400000 22170.142 4853410 50 cb False True 1.000 1000 2017-12-27_13-54-07-241114_custom_cb_50
60 0.431 0.410 0.458 546.819 400000 14055.493 4853410 50 cb True True 1000.000 1000 2017-12-27_14-44-19-338868_custom_cb_50_lc
51 0.430 0.397 0.437 1804.286 888237 27801.302 4853410 100 sg True False 1000.000 1000 2017-12-28_01-09-50-399266_custom_sg_100_lc
220 0.429 0.432 0.443 3121.724 888237 26943.854 4853410 50 cb True True 1.000 1000 2017-12-27_18-30-01-937025_custom_cb_50_lc
133 0.427 0.375 0.441 243.779 400000 6656.897 4853410 12 cb True True 1000.000 1000 2017-12-27_14-41-06-263187_custom_cb_12_lc
205 0.426 0.380 0.419 1336.194 888237 15673.897 4853410 50 sg True False 1000.000 1000 2017-12-28_00-58-34-416786_custom_sg_50_lc
187 0.424 0.384 0.467 290.495 400000 3225.376 4853410 25 sg False False 1000.000 1000 2017-12-27_15-05-36-441895_custom_sg_25
73 0.423 0.436 0.434 3757.926 888237 49732.810 4853410 100 cb True True 1.000 1000 2017-12-27_18-42-16-177340_custom_cb_100_lc
295 0.422 0.405 0.434 880.765 888237 9857.071 4853410 25 sg False False 1000.000 1000 2017-12-27_21-30-13-396392_custom_sg_25
154 0.421 0.404 0.432 1167.289 888237 11501.489 4853410 12 sg True False 1.000 1000 2017-12-27_23-39-52-229061_custom_sg_12_lc
47 0.421 0.437 0.446 2169.909 888237 25369.720 4853410 50 sg False False 1.000 1000 2017-12-27_20-53-54-743256_custom_sg_50
91 0.420 0.450 0.454 350.067 400000 8957.351 4853410 25 cb True True 1000.000 1000 2017-12-27_14-40-35-206943_custom_cb_25_lc
151 0.418 0.414 0.433 1113.759 400000 22175.406 4853410 50 cb True True 1.000 1000 2017-12-27_14-39-28-881941_custom_cb_50_lc
145 0.416 0.344 0.432 412.400 400000 9776.772 4853410 50 cb True False 1000.000 1000 2017-12-27_14-27-55-218660_custom_cb_50_lc
172 0.413 0.480 0.422 760.665 400000 15615.442 4853410 50 cb False False 1.000 1000 2017-12-27_13-51-21-662265_custom_cb_50
181 0.411 0.398 0.395 2489.290 888237 32700.443 4853410 100 cb True False 1.000 1000 2017-12-27_17-37-02-813086_custom_cb_100_lc
36 0.408 0.424 0.421 1440.396 888237 14653.419 4853410 25 sg False False 1.000 1000 2017-12-27_20-53-37-790475_custom_sg_25
258 0.407 0.417 0.442 1943.978 888237 29311.059 4853410 100 sg False True 1000.000 1000 2017-12-27_23-23-04-775459_custom_sg_100
269 0.404 0.423 0.423 3865.952 888237 46890.700 4853410 100 cb False True 1.000 1000 2017-12-27_17-01-01-626414_custom_cb_100
215 0.404 0.436 0.425 1956.869 888237 21786.972 4853410 50 sg True False 1.000 1000 2017-12-27_23-47-47-009646_custom_sg_50_lc
160 0.404 0.366 0.432 499.457 400000 11559.070 4853410 12 cb False True 1.000 1000 2017-12-27_13-50-44-462807_custom_cb_12
294 0.400 0.418 0.443 643.005 400000 19020.333 4853410 100 sg False False 1000.000 1000 2017-12-27_15-07-05-560579_custom_sg_100
125 0.400 0.395 0.423 1488.748 888237 17629.481 4853410 50 sg True True 1000.000 1000 2017-12-28_02-56-02-423530_custom_sg_50_lc
13 0.399 0.390 0.438 415.430 400000 8971.652 4853410 25 cb False True 1000.000 1000 2017-12-27_14-01-37-812616_custom_cb_25
227 0.399 0.418 0.388 366.465 400000 9775.711 4853410 12 sg True False 1.000 1000 2017-12-27_15-34-21-503454_custom_sg_12_lc
183 0.398 0.328 0.381 982.518 888237 9467.564 4853410 12 cb False False 1.000 1000 2017-12-27_16-17-45-869369_custom_cb_12
101 0.398 0.368 0.425 2041.481 888237 19874.429 4853410 25 sg False True 1.000 1000 2017-12-27_22-37-39-210213_custom_sg_25
53 0.397 0.404 0.419 2801.113 888237 27418.553 4853410 50 cb False True 1.000 1000 2017-12-27_16-55-34-794036_custom_cb_50
128 0.397 0.365 0.421 219.416 400000 5785.724 4853410 12 sg True True 1000.000 1000 2017-12-27_16-09-24-099447_custom_sg_12_lc
278 0.392 0.398 0.383 743.301 400000 14037.567 4853410 25 cb True True 1.000 1000 2017-12-27_14-38-57-787420_custom_cb_25_lc
77 0.390 0.399 0.401 2204.093 888237 19132.155 4853410 25 cb False True 1.000 1000 2017-12-27_16-54-31-649506_custom_cb_25
67 0.388 0.370 0.388 938.724 888237 10520.010 4853410 12 cb True False 1.000 1000 2017-12-27_17-28-04-695730_custom_cb_12_lc
174 0.383 0.367 0.409 1511.694 888237 21479.229 4853410 50 cb True True 1000.000 1000 2017-12-27_19-46-42-945434_custom_cb_50_lc
203 0.383 0.337 0.422 265.830 400000 6594.662 4853410 12 cb False True 1000.000 1000 2017-12-27_14-01-03-257674_custom_cb_12
224 0.382 0.394 0.383 539.142 400000 10180.747 4853410 25 cb False False 1.000 1000 2017-12-27_13-50-40-739752_custom_cb_25
211 0.380 0.313 0.376 1327.073 888237 12547.794 4853410 25 cb True False 1.000 1000 2017-12-27_17-31-25-947541_custom_cb_25_lc
5 0.379 0.360 0.392 1194.832 888237 12458.881 4853410 12 sg False False 1.000 1000 2017-12-27_20-50-30-465724_custom_sg_12
228 0.374 0.370 0.378 812.411 400000 14679.306 4853410 25 cb False True 1.000 1000 2017-12-27_13-50-44-759144_custom_cb_25
202 0.374 0.394 0.423 2220.342 888237 30950.078 4853410 100 cb False True 1000.000 1000 2017-12-27_17-17-42-834479_custom_cb_100
244 0.371 0.359 0.398 1450.959 888237 11791.217 4853410 25 cb True True 1000.000 1000 2017-12-27_19-45-03-199439_custom_cb_25_lc
272 0.370 0.385 0.381 1278.152 888237 17042.960 4853410 50 sg False False 1000.000 1000 2017-12-27_21-33-19-416881_custom_sg_50
35 0.369 0.391 0.399 1351.795 888237 10931.953 4853410 25 sg False True 1000.000 1000 2017-12-27_23-13-10-837597_custom_sg_25
256 0.367 0.360 0.365 2717.146 888237 33114.540 4853410 100 cb False False 1.000 1000 2017-12-27_16-24-17-234266_custom_cb_100
242 0.367 0.363 0.375 195.617 400000 5231.531 4853410 12 sg False False 1000.000 1000 2017-12-27_15-02-12-392131_custom_sg_12
140 0.366 0.303 0.356 787.489 888237 8309.709 4853410 12 cb True True 1000.000 1000 2017-12-27_19-33-26-125661_custom_cb_12_lc
71 0.366 0.308 0.383 762.744 888237 8247.189 4853410 12 sg False True 1000.000 1000 2017-12-27_23-11-49-724248_custom_sg_12
146 0.365 0.296 0.356 900.520 888237 9585.145 4853410 25 sg True False 1000.000 1000 2017-12-28_00-54-39-999121_custom_sg_25_lc
164 0.364 0.301 0.367 674.500 888237 6982.166 4853410 12 sg False False 1000.000 1000 2017-12-27_21-25-36-932217_custom_sg_12
121 0.363 0.441 0.366 303.047 400000 7603.977 4853410 12 cb False False 1.000 1000 2017-12-27_13-50-49-994954_custom_cb_12
283 0.363 0.345 0.393 586.923 400000 17257.052 4853410 100 cb True False 1000.000 1000 2017-12-27_14-29-01-628767_custom_cb_100_lc
284 0.362 0.325 0.396 1748.372 888237 26897.104 4853410 100 sg False False 1000.000 1000 2017-12-27_21-37-01-859577_custom_sg_100
15 0.357 0.417 0.351 430.573 400000 9601.051 4853410 25 cb True False 1.000 1000 2017-12-27_14-12-53-560967_custom_cb_25_lc
206 0.356 0.320 0.369 227.076 400000 5971.732 4853410 12 sg False True 1000.000 1000 2017-12-27_15-23-01-942334_custom_sg_12
131 0.354 0.336 0.352 269.922 400000 6015.584 4853410 25 cb True False 1000.000 1000 2017-12-27_14-27-10-215862_custom_cb_25_lc
162 0.353 0.361 0.361 1916.650 888237 19660.782 4853410 50 cb False False 1.000 1000 2017-12-27_16-21-03-585719_custom_cb_50
107 0.352 0.344 0.364 198.130 400000 5542.387 4853410 12 sg True False 1000.000 1000 2017-12-27_15-47-50-354156_custom_sg_12_lc
82 0.347 0.373 0.390 2300.503 888237 32828.176 4853410 100 cb True True 1000.000 1000 2017-12-27_19-54-05-455036_custom_cb_100_lc
240 0.344 0.265 0.341 892.641 888237 8057.473 4853410 12 sg True True 1000.000 1000 2017-12-28_02-42-56-659811_custom_sg_12_lc
24 0.331 0.268 0.321 688.474 888237 6903.020 4853410 12 sg True False 1000.000 1000 2017-12-28_00-46-55-924817_custom_sg_12_lc
64 0.330 0.313 0.342 1574.227 888237 14093.375 4853410 12 cb True True 1.000 1000 2017-12-27_18-15-53-006573_custom_cb_12_lc
192 0.320 0.305 0.322 491.414 400000 10399.727 4853410 12 cb True True 1.000 1000 2017-12-27_14-35-58-895217_custom_cb_12_lc
189 0.320 0.347 0.333 1962.768 888237 17447.484 4853410 25 cb True True 1.000 1000 2017-12-27_18-18-41-365173_custom_cb_25_lc
142 0.318 0.339 0.355 1092.716 888237 10936.718 4853410 25 cb False True 1000.000 1000 2017-12-27_17-09-43-174492_custom_cb_25
43 0.316 0.323 0.364 1608.498 888237 22831.085 4853410 50 cb False True 1000.000 1000 2017-12-27_17-10-46-355649_custom_cb_50
230 0.316 0.264 0.308 287.437 400000 5699.150 4853410 25 cb False False 1000.000 1000 2017-12-27_13-50-57-699815_custom_cb_25
216 0.314 0.301 0.339 1392.080 888237 17822.333 4853410 50 sg False True 1000.000 1000 2017-12-27_23-21-15-519117_custom_sg_50
144 0.303 0.218 0.291 187.111 400000 4787.847 4853410 12 cb True False 1000.000 1000 2017-12-27_14-25-45-694185_custom_cb_12_lc
194 0.302 0.218 0.288 588.080 888237 5382.758 4853410 12 cb False False 1000.000 1000 2017-12-27_16-34-16-984894_custom_cb_12
6 0.295 0.238 0.318 1156.884 888237 13051.373 4853410 50 cb True False 1000.000 1000 2017-12-27_17-56-27-479235_custom_cb_50_lc
210 0.294 0.280 0.334 921.935 888237 10273.296 4853410 12 cb False True 1000.000 1000 2017-12-27_17-08-38-758696_custom_cb_12
167 0.291 0.246 0.283 1339.762 888237 12952.283 4853410 25 cb False False 1.000 1000 2017-12-27_16-18-42-421995_custom_cb_25
37 0.283 0.303 0.302 1802.516 888237 21463.658 4853410 50 cb True False 1.000 1000 2017-12-27_17-33-19-587052_custom_cb_50_lc
44 0.283 0.229 0.246 514.382 400000 12657.434 4853410 12 sg True True 1.000 1000 2017-12-27_15-57-45-769285_custom_sg_12_lc
127 0.262 0.232 0.268 1607.568 888237 23691.633 4853410 100 cb True False 1000.000 1000 2017-12-27_18-03-06-030027_custom_cb_100_lc
241 0.262 0.187 0.280 190.542 400000 4526.376 4853410 12 cb False False 1000.000 1000 2017-12-27_13-50-46-238775_custom_cb_12
275 0.247 0.184 0.212 526.852 400000 13626.385 4853410 12 sg False True 1.000 1000 2017-12-27_15-14-07-291761_custom_sg_12
68 0.241 0.220 0.237 816.438 888237 7896.144 4853410 25 cb True False 1000.000 1000 2017-12-27_17-54-52-958358_custom_cb_25_lc
155 0.235 0.158 0.238 827.448 888237 7703.910 4853410 25 cb False False 1000.000 1000 2017-12-27_16-34-59-970093_custom_cb_25
276 0.234 0.213 0.233 440.104 400000 9005.005 4853410 50 cb False False 1000.000 1000 2017-12-27_13-50-59-933462_custom_cb_50
78 0.233 0.198 0.244 1638.238 888237 22900.920 4853410 100 cb False False 1000.000 1000 2017-12-27_16-41-11-418344_custom_cb_100
238 0.226 0.185 0.234 1430.284 888237 11385.184 4853410 50 cb False False 1000.000 1000 2017-12-27_16-38-35-089529_custom_cb_50
76 0.225 0.164 0.226 731.200 888237 6310.764 4853410 12 cb True False 1000.000 1000 2017-12-27_17-53-43-436132_custom_cb_12_lc
79 0.182 0.172 0.179 1838.361 888237 15008.997 4853410 12 sg True True 1.000 1000 2017-12-28_01-55-41-908188_custom_sg_12_lc
268 0.167 0.157 0.164 1609.907 888237 16351.903 4853410 12 sg False True 1.000 1000 2017-12-27_22-17-13-872285_custom_sg_12

AGGREGATIONS FOR KEYED GROUP: ['train_size']

on data set: all training set sizes, max_iter: no limit
row of maximum for f1_micro per group:

train_size f1_micro f1_macro f1_weighted train_time test_time test_size embedding_size embedding_model lowercase scale C max_iter model
888237 0.922 0.834 0.914 14798.958 76392.633 4853410 50 sg False True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
400000 0.921 0.831 0.913 3482.841 57515.576 4853410 100 sg False True 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
100000 0.914 0.823 0.906 274.812 13903.381 4853410 100 sg False True 1000.000 -1 2017-12-28_23-19-08-243621_custom_sg_100

maximum of all columns - sorted by f1_micro:

train_size f1_micro f1_macro f1_weighted train_time test_time
888237 0.922 0.840 0.914 91498.211 225670.723
400000 0.921 0.836 0.913 19842.155 110062.697
100000 0.914 0.826 0.906 1244.394 32688.943

mean of all columns - sorted by f1_micro:

train_size f1_micro f1_macro f1_weighted train_time test_time
888237 0.889 0.803 0.881 23389.394 92375.177
400000 0.883 0.795 0.874 4786.759 44770.841
100000 0.876 0.783 0.866 304.237 11800.756

minimum train and test time - sorted by train_time:

train_size train_time test_time
100000 75.037 3917.671
400000 1328.706 16729.198
888237 6584.232 35250.360

AGGREGATIONS FOR KEYED GROUP: ['embedding_size']

on data set: all training set sizes, max_iter: no limit
row of maximum for f1_micro per group:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_model lowercase scale C max_iter model
50 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 sg False True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
100 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 sg False True 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
25 0.915 0.823 0.906 15864.287 888237 55171.940 4853410 sg False True 1000.000 -1 2017-12-27_22-47-40-379969_custom_sg_25
12 0.900 0.831 0.895 59476.173 888237 35250.360 4853410 cb False False 1000.000 -1 2017-12-28_22-20-19-011109_custom_cb_12

maximum of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
50 0.922 0.839 0.914 29873.209 888237.000 137499.426
100 0.921 0.840 0.913 36304.535 888237.000 225670.723
25 0.915 0.837 0.909 35969.138 888237.000 94402.240
12 0.900 0.831 0.895 91498.211 888237.000 102377.669

mean of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
100 0.898 0.810 0.889 10806.071 504925.395 88359.783
50 0.892 0.804 0.884 8490.909 486594.302 53315.077
25 0.887 0.798 0.878 8412.466 495722.545 37404.020
12 0.856 0.766 0.846 13506.020 495722.545 34132.037

minimum train and test time - sorted by train_time:

embedding_size train_time test_time
12 75.037 3917.671
25 97.127 4757.710
50 178.658 6891.405
100 258.263 11419.134

on data set: training: size: 100000, max_iter: no limit
row of maximum for f1_micro per group:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_model lowercase scale C max_iter model
100 0.914 0.823 0.906 274.812 100000 13903.381 4853410 sg False True 1000.000 -1 2017-12-28_23-19-08-243621_custom_sg_100
50 0.913 0.822 0.904 231.515 100000 9107.019 4853410 sg False True 1000.000 -1 2017-12-28_23-19-08-102325_custom_sg_50
25 0.897 0.819 0.890 484.388 100000 4757.710 4853410 sg False False 1000.000 -1 2017-12-28_23-17-08-589960_custom_sg_25
12 0.886 0.802 0.880 747.520 100000 3917.671 4853410 cb False False 1000.000 -1 2017-12-28_22-58-42-719447_custom_cb_12

maximum of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
100 0.914 0.826 0.906 673.444 100000.000 32688.943
50 0.913 0.822 0.904 436.075 100000.000 20229.699
25 0.897 0.819 0.890 484.388 100000.000 13953.580
12 0.886 0.802 0.880 1244.394 100000.000 12696.920

mean of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
100 0.892 0.799 0.882 401.375 100000.000 21120.442
50 0.884 0.792 0.874 278.243 100000.000 11875.827
25 0.878 0.788 0.868 238.000 100000.000 8110.547
12 0.850 0.753 0.839 307.426 100000.000 6872.850

minimum train and test time - sorted by train_time:

embedding_size train_time test_time
12 75.037 3917.671
25 97.127 4757.710
50 178.658 6891.405
100 258.263 11419.134

on data set: training: size: 400000, max_iter: no limit
row of maximum for f1_micro per group:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_model lowercase scale C max_iter model
100 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 sg False True 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
50 0.919 0.829 0.911 3048.978 400000 39101.904 4853410 sg False True 1000.000 -1 2017-12-27_15-18-26-774110_custom_sg_50
25 0.912 0.820 0.903 3160.537 400000 26096.499 4853410 sg False True 1000.000 -1 2017-12-27_15-17-56-769735_custom_sg_25
12 0.897 0.812 0.890 11668.038 400000 16758.697 4853410 cb False False 1000.000 -1 2017-12-27_13-50-59-765462_custom_cb_12

maximum of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
100 0.921 0.836 0.913 7504.671 400000.000 110062.697
50 0.919 0.830 0.911 5992.963 400000.000 69696.628
25 0.912 0.827 0.903 7742.152 400000.000 47557.356
12 0.897 0.817 0.890 19842.155 400000.000 49425.016

mean of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
100 0.898 0.810 0.889 4858.160 400000.000 73485.422
50 0.893 0.806 0.884 4140.913 400000.000 45796.738
25 0.888 0.798 0.879 3961.457 400000.000 31301.506
12 0.855 0.766 0.845 6186.506 400000.000 28499.700

minimum train and test time - sorted by train_time:

embedding_size train_time test_time
12 1328.706 16729.198
25 1645.298 20499.675
50 2369.430 29435.550
100 3477.938 52053.146

on data set: training: size: 888237, max_iter: no limit
row of maximum for f1_micro per group:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_model lowercase scale C max_iter model
50 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 sg False True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
100 0.915 0.820 0.905 20450.348 888237 151797.090 4853410 sg False False 1.000 -1 2017-12-27_20-32-36-436210_custom_sg_100
25 0.915 0.823 0.906 15864.287 888237 55171.940 4853410 sg False True 1000.000 -1 2017-12-27_22-47-40-379969_custom_sg_25
12 0.900 0.831 0.895 59476.173 888237 35250.360 4853410 cb False False 1000.000 -1 2017-12-28_22-20-19-011109_custom_cb_12

maximum of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
50 0.922 0.839 0.914 29873.209 888237.000 137499.426
100 0.915 0.840 0.912 36304.535 888237.000 225670.723
25 0.915 0.837 0.909 35969.138 888237.000 94402.240
12 0.900 0.831 0.895 91498.211 888237.000 102377.669

mean of all columns - sorted by f1_micro:

embedding_size f1_micro f1_macro f1_weighted train_time train_size test_time
100 0.902 0.817 0.894 23907.212 888237.000 149461.191
50 0.899 0.813 0.891 19701.038 888237.000 94486.039
25 0.894 0.807 0.886 18994.325 888237.000 65476.639
12 0.862 0.777 0.852 30724.480 888237.000 60208.766

minimum train and test time - sorted by train_time:

embedding_size train_time test_time
12 6584.232 35250.360
25 8877.540 44704.622
50 11756.204 63566.798
100 16692.770 98669.134

AGGREGATIONS FOR KEYED GROUP: ['embedding_model']

on data set: all training set sizes, max_iter: no limit
row of maximum for f1_micro per group:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size lowercase scale C max_iter model
sg 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 False True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
cb 0.911 0.818 0.902 20402.102 888237 143498.928 4853410 100 False True 1000.000 -1 2017-12-27_17-05-36-930416_custom_cb_100

maximum of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.922 0.840 0.914 91498.211 888237.000 191891.239
cb 0.911 0.839 0.904 59476.173 888237.000 225670.723

mean of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.884 0.795 0.875 12013.812 535294.800 56961.015
cb 0.883 0.794 0.873 8862.539 462078.160 49816.216

minimum train and test time - sorted by train_time:

embedding_model train_time test_time
cb 75.037 3917.671
sg 108.108 4506.445

on data set: training: size: 100000, max_iter: no limit
row of maximum for f1_micro per group:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size lowercase scale C max_iter model
sg 0.914 0.823 0.906 274.812 100000 13903.381 4853410 100 False True 1000.000 -1 2017-12-28_23-19-08-243621_custom_sg_100
cb 0.908 0.824 0.901 354.142 100000 12912.954 4853410 100 False False 1000.000 -1 2017-12-28_23-01-00-492493_custom_cb_100

maximum of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.914 0.826 0.906 1244.394 100000.000 32688.943
cb 0.908 0.824 0.901 747.520 100000.000 32453.124

mean of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
cb 0.877 0.784 0.867 267.396 100000.000 11585.641
sg 0.873 0.779 0.864 375.617 100000.000 12217.543

minimum train and test time - sorted by train_time:

embedding_model train_time test_time
cb 75.037 3917.671
sg 108.108 4506.445

on data set: training: size: 400000, max_iter: no limit
row of maximum for f1_micro per group:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size lowercase scale C max_iter model
sg 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 100 False True 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
cb 0.910 0.817 0.901 3477.938 400000 67488.954 4853410 100 False False 1.000 -1 2017-12-27_13-50-44-759113_custom_cb_100

maximum of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.921 0.836 0.913 19842.155 400000.000 96239.736
cb 0.910 0.832 0.901 11953.614 400000.000 110062.697

mean of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.884 0.795 0.875 5076.022 400000.000 45072.370
cb 0.883 0.795 0.874 4497.496 400000.000 44469.312

minimum train and test time - sorted by train_time:

embedding_model train_time test_time
cb 1328.706 16729.198
sg 1647.920 19136.976

on data set: training: size: 888237, max_iter: no limit
row of maximum for f1_micro per group:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size lowercase scale C max_iter model
sg 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 False True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
cb 0.911 0.818 0.902 20402.102 888237 143498.928 4853410 100 False True 1000.000 -1 2017-12-27_17-05-36-930416_custom_cb_100

maximum of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.922 0.840 0.914 91498.211 888237.000 191891.239
cb 0.911 0.839 0.904 59476.173 888237.000 225670.723

mean of all columns - sorted by f1_micro:

embedding_model f1_micro f1_macro f1_weighted train_time train_size test_time
sg 0.889 0.803 0.881 24770.699 888237.000 91221.396
cb 0.889 0.803 0.880 21963.532 888237.000 93566.176

minimum train and test time - sorted by train_time:

embedding_model train_time test_time
cb 6584.232 35250.360
sg 8940.184 40305.794

AGGREGATIONS FOR KEYED GROUP: ['lowercase']

on data set: all training set sizes, max_iter: no limit
row of maximum for f1_micro per group:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model scale C max_iter model
False 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
True 0.919 0.833 0.911 17771.436 888237 76580.279 4853410 50 sg True 1000.000 -1 2017-12-28_02-26-29-764191_custom_sg_50_lc

maximum of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.922 0.840 0.914 82421.211 888237.000 225670.723
True 0.919 0.839 0.911 91498.211 888237.000 220033.988

mean of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
True 0.885 0.800 0.876 14619.276 644118.500 68918.724
False 0.882 0.792 0.873 7804.999 409412.245 43898.247

minimum train and test time - sorted by train_time:

lowercase train_time test_time
False 75.037 3917.671
True 1328.706 16729.198

on data set: training: size: 100000, max_iter: no limit
row of maximum for f1_micro per group:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model scale C max_iter model
False 0.914 0.823 0.906 274.812 100000 13903.381 4853410 100 sg True 1000.000 -1 2017-12-28_23-19-08-243621_custom_sg_100

maximum of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.914 0.826 0.906 1244.394 100000.000 32688.943

mean of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.876 0.783 0.866 304.237 100000.000 11800.756

minimum train and test time - sorted by train_time:

lowercase train_time test_time
False 75.037 3917.671

on data set: training: size: 400000, max_iter: no limit
row of maximum for f1_micro per group:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model scale C max_iter model
False 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 100 sg True 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
True 0.916 0.827 0.908 3555.012 400000 37524.886 4853410 50 sg True 1000.000 -1 2017-12-27_16-04-30-255050_custom_sg_50_lc

maximum of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.921 0.832 0.913 18437.879 400000.000 110062.697
True 0.916 0.836 0.908 19842.155 400000.000 108775.842

mean of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.885 0.795 0.876 4695.833 400000.000 44564.717
True 0.882 0.795 0.873 4877.685 400000.000 44976.966

minimum train and test time - sorted by train_time:

lowercase train_time test_time
True 1328.706 16729.198
False 1328.777 16758.697

on data set: training: size: 888237, max_iter: no limit
row of maximum for f1_micro per group:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model scale C max_iter model
False 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg True 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
True 0.919 0.833 0.911 17771.436 888237 76580.279 4853410 50 sg True 1000.000 -1 2017-12-28_02-26-29-764191_custom_sg_50_lc

maximum of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.922 0.840 0.914 82421.211 888237.000 225670.723
True 0.919 0.839 0.911 91498.211 888237.000 220033.988

mean of all columns - sorted by f1_micro:

lowercase f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.890 0.802 0.881 22386.585 888237.000 91874.216
True 0.888 0.804 0.880 24360.866 888237.000 92860.482

minimum train and test time - sorted by train_time:

lowercase train_time test_time
False 6584.232 35250.360
True 6834.448 37645.068

AGGREGATIONS FOR KEYED GROUP: ['scale']

on data set: all training set sizes, max_iter: no limit
row of maximum for f1_micro per group:

scale f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase C max_iter model
True 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg False 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
False 0.915 0.820 0.905 20450.348 888237 151797.090 4853410 100 sg False 1.000 -1 2017-12-27_20-32-36-436210_custom_sg_100

maximum of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
True 0.922 0.834 0.914 36304.535 888237.000 225670.723
False 0.915 0.840 0.912 91498.211 888237.000 156474.199

mean of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.893 0.812 0.886 11109.061 478170.522 42309.348
True 0.873 0.776 0.861 9456.763 514566.476 64663.859

minimum train and test time - sorted by train_time:

scale train_time test_time
False 75.037 3917.671
True 153.603 6319.970

on data set: training: size: 100000, max_iter: no limit
row of maximum for f1_micro per group:

scale f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase C max_iter model
True 0.914 0.823 0.906 274.812 100000 13903.381 4853410 100 sg False 1000.000 -1 2017-12-28_23-19-08-243621_custom_sg_100
False 0.908 0.824 0.901 354.142 100000 12912.954 4853410 100 cb False 1000.000 -1 2017-12-28_23-01-00-492493_custom_cb_100

maximum of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
True 0.914 0.823 0.906 673.444 100000.000 32688.943
False 0.908 0.826 0.901 1244.394 100000.000 23316.698

mean of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.889 0.804 0.881 285.460 100000.000 9291.119
True 0.858 0.754 0.845 329.587 100000.000 15188.766

minimum train and test time - sorted by train_time:

scale train_time test_time
False 75.037 3917.671
True 153.603 6319.970

on data set: training: size: 400000, max_iter: no limit
row of maximum for f1_micro per group:

scale f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase C max_iter model
True 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 100 sg False 1000.000 -1 2017-12-27_15-22-52-564719_custom_sg_100
False 0.911 0.830 0.905 4677.249 400000 52121.197 4853410 100 sg False 1000.000 -1 2017-12-27_14-59-39-575316_custom_sg_100

maximum of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
True 0.921 0.831 0.913 7504.671 400000.000 110062.697
False 0.911 0.836 0.905 19842.155 400000.000 81193.453

mean of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.893 0.812 0.886 5382.623 400000.000 36658.515
True 0.874 0.778 0.863 4190.895 400000.000 52883.168

minimum train and test time - sorted by train_time:

scale train_time test_time
False 1328.706 16729.198
True 2596.910 25661.497

on data set: training: size: 888237, max_iter: no limit
row of maximum for f1_micro per group:

scale f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase C max_iter model
True 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg False 1000.000 -1 2017-12-27_22-49-14-081715_custom_sg_50
False 0.915 0.820 0.905 20450.348 888237 151797.090 4853410 100 sg False 1.000 -1 2017-12-27_20-32-36-436210_custom_sg_100

maximum of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
True 0.922 0.834 0.914 36304.535 888237.000 225670.723
False 0.915 0.840 0.912 91498.211 888237.000 156474.199

mean of all columns - sorted by f1_micro:

scale f1_micro f1_macro f1_weighted train_time train_size test_time
False 0.897 0.820 0.891 26447.231 888237.000 76900.279
True 0.881 0.787 0.870 20427.115 888237.000 107366.483

minimum train and test time - sorted by train_time:

scale train_time test_time
False 6584.232 35250.360
True 13586.889 54329.111

AGGREGATIONS FOR KEYED GROUP: ['C']

on data set: all training set sizes, max_iter: no limit
row of maximum for f1_micro per group:

C f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase scale max_iter model
1000.000 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg False True -1 2017-12-27_22-49-14-081715_custom_sg_50
1.000 0.915 0.820 0.905 20450.348 888237 151797.090 4853410 100 sg False False -1 2017-12-27_20-32-36-436210_custom_sg_100
2.000 0.907 0.815 0.898 298.829 100000 21126.754 4853410 100 cb False False -1 2017-12-28_23-11-10-562891_custom_cb_100

maximum of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.922 0.840 0.914 91498.211 888237.000 150913.490
1.000 0.915 0.820 0.905 36304.535 888237.000 225670.723
2.000 0.907 0.815 0.898 579.680 100000.000 31432.429

mean of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.896 0.814 0.889 14014.285 530827.177 45809.958
1.000 0.873 0.779 0.863 7874.165 500271.080 63319.999
2.000 0.869 0.772 0.858 250.341 100000.000 13972.362

minimum train and test time - sorted by train_time:

C train_time test_time
1.000 75.037 4809.545
2.000 76.360 4633.169
1000.000 153.603 3917.671

on data set: training: size: 100000, max_iter: no limit
row of maximum for f1_micro per group:

C f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase scale max_iter model
1000.000 0.914 0.823 0.906 274.812 100000 13903.381 4853410 100 sg False True -1 2017-12-28_23-19-08-243621_custom_sg_100
2.000 0.907 0.815 0.898 298.829 100000 21126.754 4853410 100 cb False False -1 2017-12-28_23-11-10-562891_custom_cb_100
1.000 0.903 0.809 0.893 306.910 100000 18642.162 4853410 100 cb False False -1 2017-12-28_23-14-06-624693_custom_cb_100

maximum of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.914 0.826 0.906 1244.394 100000.000 16530.203
2.000 0.907 0.815 0.898 579.680 100000.000 31432.429
1.000 0.903 0.809 0.893 673.444 100000.000 32688.943

mean of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.889 0.803 0.882 405.582 100000.000 8375.395
2.000 0.869 0.772 0.858 250.341 100000.000 13972.362
1.000 0.868 0.772 0.857 252.483 100000.000 13428.275

minimum train and test time - sorted by train_time:

C train_time test_time
1.000 75.037 4809.545
2.000 76.360 4633.169
1000.000 153.603 3917.671

on data set: training: size: 400000, max_iter: no limit
row of maximum for f1_micro per group:

C f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase scale max_iter model
1000.000 0.921 0.831 0.913 3482.841 400000 57515.576 4853410 100 sg False True -1 2017-12-27_15-22-52-564719_custom_sg_100
1.000 0.910 0.817 0.901 3477.938 400000 67488.954 4853410 100 cb False False -1 2017-12-27_13-50-44-759113_custom_cb_100

maximum of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.921 0.836 0.913 19842.155 400000.000 70177.555
1.000 0.910 0.817 0.901 7504.671 400000.000 110062.697

mean of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.895 0.813 0.888 6080.840 400000.000 36018.440
1.000 0.872 0.777 0.861 3492.678 400000.000 53523.243

minimum train and test time - sorted by train_time:

C train_time test_time
1.000 1328.706 19692.659
1000.000 2599.263 16729.198

on data set: training: size: 888237, max_iter: no limit
row of maximum for f1_micro per group:

C f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase scale max_iter model
1000.000 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg False True -1 2017-12-27_22-49-14-081715_custom_sg_50
1.000 0.915 0.820 0.905 20450.348 888237 151797.090 4853410 100 sg False False -1 2017-12-27_20-32-36-436210_custom_sg_100

maximum of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.922 0.840 0.914 91498.211 888237.000 150913.490
1.000 0.915 0.820 0.905 36304.535 888237.000 225670.723

mean of all columns - sorted by f1_micro:

C f1_micro f1_macro f1_weighted train_time train_size test_time
1000.000 0.900 0.821 0.893 29227.493 888237.000 75238.398
1.000 0.878 0.786 0.868 17733.736 888237.000 108976.431

minimum train and test time - sorted by train_time:

C train_time test_time
1.000 6584.232 42002.969
1000.000 13586.889 35250.360

AGGREGATIONS FOR KEYED GROUP: ['max_iter']

on data set: full data
row of maximum for f1_micro per group:

max_iter f1_micro f1_macro f1_weighted train_time train_size test_time test_size embedding_size embedding_model lowercase scale C model
-1 0.922 0.834 0.914 14798.958 888237 76392.633 4853410 50 sg False True 1000.000 2017-12-27_22-49-14-081715_custom_sg_50
1000 0.546 0.520 0.558 1144.063 400000 23828.060 4853410 50 sg False True 1.000 2017-12-27_15-15-05-403063_custom_sg_50

maximum of all columns - sorted by f1_micro:

max_iter f1_micro f1_macro f1_weighted train_time train_size test_time
-1 0.922 0.840 0.914 91498.211 888237.000 225670.723
1000 0.546 0.595 0.558 3865.952 888237.000 49732.810

mean of all columns - sorted by f1_micro:

max_iter f1_micro f1_macro f1_weighted train_time train_size test_time
-1 0.883 0.795 0.874 10311.400 495740.983 53101.181
1000 0.396 0.384 0.408 1186.045 644118.500 17413.245

minimum train and test time - sorted by train_time:

max_iter train_time test_time
-1 75.037 3917.671
1000 187.111 3225.376