None [s1_c01_v01] Precision: 0.4286 Recall:0.8571 F1:0.5714 F2:0.7143 turk: 15 true: 7 match: 6 fp: 8 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 20 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.7273 Recall:0.8000 F1:0.7619 F2:0.7843 turk: 16 true: 10 match: 8 fp: 3 fn: 2 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 10 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3448 Recall:1.0000 F1:0.5128 F2:0.7246 turk: 41 true: 10 match: 10 fp: 19 fn: 0 [s1_c02_v01] Precision: 0.5172 Recall:0.9375 F1:0.6666 F2:0.8064 turk: 40 true: 16 match: 15 fp: 14 fn: 1 [s1_c02_v02] Precision: 0.7083 Recall:0.6800 F1:0.6939 F2:0.6855 turk: 26 true: 25 match: 17 fp: 7 fn: 8 [s1_c02_v03] Precision: 0.3810 Recall:0.8889 F1:0.5334 F2:0.7018 turk: 33 true: 9 match: 8 fp: 13 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6429 Recall:0.6429 F1:0.6429 F2:0.6429 turk: 20 true: 14 match: 9 fp: 5 fn: 5 [s1_c03_v01] Precision: 0.8750 Recall:0.8750 F1:0.8750 F2:0.8750 turk: 20 true: 16 match: 14 fp: 2 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 28 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7647 Recall:0.8125 F1:0.7879 F2:0.8025 turk: 17 true: 16 match: 13 fp: 4 fn: 3 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 25 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7000 Recall:0.7778 F1:0.7369 F2:0.7609 turk: 11 true: 9 match: 7 fp: 3 fn: 2 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 37 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 12 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 42 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 45 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8000 Recall:1.0000 F1:0.8889 F2:0.9524 turk: 22 true: 12 match: 12 fp: 3 fn: 0 [s1_c05_v02] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 17 true: 9 match: 9 fp: 6 fn: 0 [s1_c05_v03] Precision: 0.8182 Recall:0.8182 F1:0.8182 F2:0.8182 turk: 22 true: 11 match: 9 fp: 2 fn: 2 [s1_c05_v04] Precision: 0.9048 Recall:0.5588 F1:0.6909 F2:0.6051 turk: 31 true: 34 match: 19 fp: 2 fn: 15 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 25 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.01 GLOBAL Precision: 0.6521 Recall:0.7904 F1:0.7146 F2:0.7582 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 16 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 20 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.7273 Recall:0.8000 F1:0.7619 F2:0.7843 turk: 16 true: 10 match: 8 fp: 3 fn: 2 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 10 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3125 Recall:1.0000 F1:0.4762 F2:0.6944 turk: 47 true: 10 match: 10 fp: 22 fn: 0 [s1_c02_v01] Precision: 0.4688 Recall:0.9375 F1:0.6250 F2:0.7813 turk: 44 true: 16 match: 15 fp: 17 fn: 1 [s1_c02_v02] Precision: 0.7083 Recall:0.6800 F1:0.6939 F2:0.6855 turk: 27 true: 25 match: 17 fp: 7 fn: 8 [s1_c02_v03] Precision: 0.3810 Recall:0.8889 F1:0.5334 F2:0.7018 turk: 33 true: 9 match: 8 fp: 13 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6429 Recall:0.6429 F1:0.6429 F2:0.6429 turk: 21 true: 14 match: 9 fp: 5 fn: 5 [s1_c03_v01] Precision: 0.8235 Recall:0.8750 F1:0.8485 F2:0.8642 turk: 20 true: 16 match: 14 fp: 3 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 30 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7647 Recall:0.8125 F1:0.7879 F2:0.8025 turk: 17 true: 16 match: 13 fp: 4 fn: 3 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 25 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7000 Recall:0.7778 F1:0.7369 F2:0.7609 turk: 11 true: 9 match: 7 fp: 3 fn: 2 [s1_c04_v01] Precision: 0.9091 Recall:0.6897 F1:0.7843 F2:0.7247 turk: 38 true: 29 match: 20 fp: 2 fn: 9 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 12 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.7188 Recall:0.6970 F1:0.7077 F2:0.7013 turk: 44 true: 33 match: 23 fp: 9 fn: 10 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4359 Recall:0.8500 F1:0.5763 F2:0.7143 turk: 46 true: 20 match: 17 fp: 22 fn: 3 [s1_c05_v01] Precision: 0.8000 Recall:1.0000 F1:0.8889 F2:0.9524 turk: 22 true: 12 match: 12 fp: 3 fn: 0 [s1_c05_v02] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 17 true: 9 match: 9 fp: 7 fn: 0 [s1_c05_v03] Precision: 0.7500 Recall:0.8182 F1:0.7826 F2:0.8036 turk: 24 true: 11 match: 9 fp: 3 fn: 2 [s1_c05_v04] Precision: 0.9091 Recall:0.5882 F1:0.7143 F2:0.6329 turk: 32 true: 34 match: 20 fp: 2 fn: 14 [s1_c05_v05] Precision: 0.7391 Recall:1.0000 F1:0.8500 F2:0.9341 turk: 25 true: 17 match: 17 fp: 6 fn: 0 ===================================== eps: 0.02 GLOBAL Precision: 0.6382 Recall:0.7929 F1:0.7072 F2:0.7562 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 18 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 20 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.6667 Recall:0.8000 F1:0.7273 F2:0.7692 turk: 17 true: 10 match: 8 fp: 4 fn: 2 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 10 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3125 Recall:1.0000 F1:0.4762 F2:0.6944 turk: 47 true: 10 match: 10 fp: 22 fn: 0 [s1_c02_v01] Precision: 0.4545 Recall:0.9375 F1:0.6122 F2:0.7732 turk: 44 true: 16 match: 15 fp: 18 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 31 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.4000 Recall:0.8889 F1:0.5517 F2:0.7143 turk: 34 true: 9 match: 8 fp: 12 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6429 Recall:0.6429 F1:0.6429 F2:0.6429 turk: 21 true: 14 match: 9 fp: 5 fn: 5 [s1_c03_v01] Precision: 0.6667 Recall:0.8750 F1:0.7568 F2:0.8235 turk: 25 true: 16 match: 14 fp: 7 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 31 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7647 Recall:0.8125 F1:0.7879 F2:0.8025 turk: 17 true: 16 match: 13 fp: 4 fn: 3 [s1_c03_v04] Precision: 0.5000 Recall:1.0000 F1:0.6667 F2:0.8333 turk: 25 true: 9 match: 9 fp: 9 fn: 0 [s1_c03_v05] Precision: 0.7000 Recall:0.7778 F1:0.7369 F2:0.7609 turk: 11 true: 9 match: 7 fp: 3 fn: 2 [s1_c04_v01] Precision: 0.9091 Recall:0.6897 F1:0.7843 F2:0.7247 turk: 38 true: 29 match: 20 fp: 2 fn: 9 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 12 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 43 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4474 Recall:0.8500 F1:0.5862 F2:0.7204 turk: 47 true: 20 match: 17 fp: 21 fn: 3 [s1_c05_v01] Precision: 0.8000 Recall:1.0000 F1:0.8889 F2:0.9524 turk: 22 true: 12 match: 12 fp: 3 fn: 0 [s1_c05_v02] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 18 true: 9 match: 9 fp: 8 fn: 0 [s1_c05_v03] Precision: 0.7500 Recall:0.8182 F1:0.7826 F2:0.8036 turk: 24 true: 11 match: 9 fp: 3 fn: 2 [s1_c05_v04] Precision: 0.9000 Recall:0.5294 F1:0.6667 F2:0.5769 turk: 34 true: 34 match: 18 fp: 2 fn: 16 [s1_c05_v05] Precision: 0.6667 Recall:0.9412 F1:0.7805 F2:0.8696 turk: 26 true: 17 match: 16 fp: 8 fn: 1 ===================================== eps: 0.03 GLOBAL Precision: 0.6208 Recall:0.7854 F1:0.6935 F2:0.7458 [s1_c01_v01] Precision: 0.4286 Recall:0.8571 F1:0.5714 F2:0.7143 turk: 19 true: 7 match: 6 fp: 8 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 20 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.6154 Recall:0.8000 F1:0.6957 F2:0.7547 turk: 18 true: 10 match: 8 fp: 5 fn: 2 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 11 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 48 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.4545 Recall:0.9375 F1:0.6122 F2:0.7732 turk: 43 true: 16 match: 15 fp: 18 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 31 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.4211 Recall:0.8889 F1:0.5715 F2:0.7273 turk: 34 true: 9 match: 8 fp: 11 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6429 Recall:0.6429 F1:0.6429 F2:0.6429 turk: 21 true: 14 match: 9 fp: 5 fn: 5 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 31 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7778 Recall:0.8750 F1:0.8235 F2:0.8537 turk: 20 true: 16 match: 14 fp: 4 fn: 2 [s1_c03_v04] Precision: 0.5000 Recall:1.0000 F1:0.6667 F2:0.8333 turk: 25 true: 9 match: 9 fp: 9 fn: 0 [s1_c03_v05] Precision: 0.7000 Recall:0.7778 F1:0.7369 F2:0.7609 turk: 11 true: 9 match: 7 fp: 3 fn: 2 [s1_c04_v01] Precision: 0.8636 Recall:0.6552 F1:0.7451 F2:0.6884 turk: 38 true: 29 match: 19 fp: 3 fn: 10 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 12 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.7188 Recall:0.6970 F1:0.7077 F2:0.7013 turk: 43 true: 33 match: 23 fp: 9 fn: 10 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4211 Recall:0.8000 F1:0.5518 F2:0.6780 turk: 48 true: 20 match: 16 fp: 22 fn: 4 [s1_c05_v01] Precision: 0.8571 Recall:1.0000 F1:0.9231 F2:0.9677 turk: 23 true: 12 match: 12 fp: 2 fn: 0 [s1_c05_v02] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 17 true: 9 match: 9 fp: 7 fn: 0 [s1_c05_v03] Precision: 0.7500 Recall:0.8182 F1:0.7826 F2:0.8036 turk: 23 true: 11 match: 9 fp: 3 fn: 2 [s1_c05_v04] Precision: 0.8947 Recall:0.5000 F1:0.6415 F2:0.5484 turk: 34 true: 34 match: 17 fp: 2 fn: 17 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 26 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.04 GLOBAL Precision: 0.6232 Recall:0.7854 F1:0.6950 F2:0.7465 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 20 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.6154 Recall:0.8000 F1:0.6957 F2:0.7547 turk: 18 true: 10 match: 8 fp: 5 fn: 2 [s1_c01_v04] Precision: 0.5000 Recall:0.6667 F1:0.5714 F2:0.6250 turk: 11 true: 6 match: 4 fp: 4 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 49 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.4545 Recall:0.9375 F1:0.6122 F2:0.7732 turk: 42 true: 16 match: 15 fp: 18 fn: 1 [s1_c02_v02] Precision: 0.6552 Recall:0.7600 F1:0.7037 F2:0.7364 turk: 32 true: 25 match: 19 fp: 10 fn: 6 [s1_c02_v03] Precision: 0.4000 Recall:0.8889 F1:0.5517 F2:0.7143 turk: 34 true: 9 match: 8 fp: 12 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6923 Recall:0.6429 F1:0.6667 F2:0.6522 turk: 21 true: 14 match: 9 fp: 4 fn: 5 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 31 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7222 Recall:0.8125 F1:0.7647 F2:0.7927 turk: 20 true: 16 match: 13 fp: 5 fn: 3 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.7000 Recall:0.7778 F1:0.7369 F2:0.7609 turk: 11 true: 9 match: 7 fp: 3 fn: 2 [s1_c04_v01] Precision: 0.9091 Recall:0.6897 F1:0.7843 F2:0.7247 turk: 39 true: 29 match: 20 fp: 2 fn: 9 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 12 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.7188 Recall:0.6970 F1:0.7077 F2:0.7013 turk: 43 true: 33 match: 23 fp: 9 fn: 10 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 47 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8571 Recall:1.0000 F1:0.9231 F2:0.9677 turk: 23 true: 12 match: 12 fp: 2 fn: 0 [s1_c05_v02] Precision: 0.4667 Recall:0.7778 F1:0.5834 F2:0.6863 turk: 16 true: 9 match: 7 fp: 8 fn: 2 [s1_c05_v03] Precision: 0.7143 Recall:0.9091 F1:0.8000 F2:0.8621 turk: 24 true: 11 match: 10 fp: 4 fn: 1 [s1_c05_v04] Precision: 0.8947 Recall:0.5000 F1:0.6415 F2:0.5484 turk: 34 true: 34 match: 17 fp: 2 fn: 17 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 26 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.05 GLOBAL Precision: 0.6235 Recall:0.7904 F1:0.6971 F2:0.7502 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 20 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 11 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 51 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4412 Recall:0.9375 F1:0.6000 F2:0.7653 turk: 42 true: 16 match: 15 fp: 19 fn: 1 [s1_c02_v02] Precision: 0.6552 Recall:0.7600 F1:0.7037 F2:0.7364 turk: 32 true: 25 match: 19 fp: 10 fn: 6 [s1_c02_v03] Precision: 0.3810 Recall:0.8889 F1:0.5334 F2:0.7018 turk: 39 true: 9 match: 8 fp: 13 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6923 Recall:0.6429 F1:0.6667 F2:0.6522 turk: 21 true: 14 match: 9 fp: 4 fn: 5 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 31 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 21 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.8000 Recall:0.8889 F1:0.8421 F2:0.8696 turk: 13 true: 9 match: 8 fp: 2 fn: 1 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 40 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6970 Recall:0.6970 F1:0.6970 F2:0.6970 turk: 44 true: 33 match: 23 fp: 10 fn: 10 [s1_c04_v04] Precision: 0.7391 Recall:0.8947 F1:0.8095 F2:0.8586 turk: 38 true: 19 match: 17 fp: 6 fn: 2 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 47 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8571 Recall:1.0000 F1:0.9231 F2:0.9677 turk: 23 true: 12 match: 12 fp: 2 fn: 0 [s1_c05_v02] Precision: 0.5333 Recall:0.8889 F1:0.6666 F2:0.7843 turk: 16 true: 9 match: 8 fp: 7 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.8947 Recall:0.5000 F1:0.6415 F2:0.5484 turk: 34 true: 34 match: 17 fp: 2 fn: 17 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 26 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.06 GLOBAL Precision: 0.6326 Recall:0.8131 F1:0.7116 F2:0.7692 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 19 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 41.295 48 Truth Add cheese Turker No rolling pin Turker Add sauce 71.885 68 Truth add olive oil Turker put oil on the dove Turker add basil leaves and oil 54.565 62 Truth Add basil leaves Turker Add the cheese Turker make neopolitan pizza 34.745 38 Truth Add sauce Turker Spread dough by hand. No rolling pin may be used. Turker no rolling pin may be used [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 11 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 53 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4286 Recall:0.9375 F1:0.5883 F2:0.7576 turk: 44 true: 16 match: 15 fp: 20 fn: 1 [s1_c02_v02] Precision: 0.6552 Recall:0.7600 F1:0.7037 F2:0.7364 turk: 32 true: 25 match: 19 fp: 10 fn: 6 [s1_c02_v03] Precision: 0.3810 Recall:0.8889 F1:0.5334 F2:0.7018 turk: 39 true: 9 match: 8 fp: 13 fn: 1 [s1_c02_v04] Precision: 0.7000 Recall:0.8235 F1:0.7567 F2:0.7954 turk: 26 true: 17 match: 14 fp: 6 fn: 3 [s1_c02_v05] Precision: 0.6923 Recall:0.6429 F1:0.6667 F2:0.6522 turk: 21 true: 14 match: 9 fp: 4 fn: 5 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 31 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.8421 Recall:1.0000 F1:0.9143 F2:0.9639 turk: 21 true: 16 match: 16 fp: 3 fn: 0 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.8000 Recall:0.8889 F1:0.8421 F2:0.8696 turk: 13 true: 9 match: 8 fp: 2 fn: 1 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 40 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6471 Recall:0.6667 F1:0.6568 F2:0.6627 turk: 44 true: 33 match: 22 fp: 12 fn: 11 [s1_c04_v04] Precision: 0.7391 Recall:0.8947 F1:0.8095 F2:0.8586 turk: 38 true: 19 match: 17 fp: 6 fn: 2 [s1_c04_v05] Precision: 0.4474 Recall:0.8500 F1:0.5862 F2:0.7204 turk: 47 true: 20 match: 17 fp: 21 fn: 3 [s1_c05_v01] Precision: 0.8571 Recall:1.0000 F1:0.9231 F2:0.9677 turk: 23 true: 12 match: 12 fp: 2 fn: 0 [s1_c05_v02] Precision: 0.4667 Recall:0.7778 F1:0.5834 F2:0.6863 turk: 16 true: 9 match: 7 fp: 8 fn: 2 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.8947 Recall:0.5000 F1:0.6415 F2:0.5484 turk: 34 true: 34 match: 17 fp: 2 fn: 17 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 26 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.07 GLOBAL Precision: 0.6255 Recall:0.8056 F1:0.7042 F2:0.7617 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 19 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 53 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4000 Recall:0.8750 F1:0.5490 F2:0.7071 turk: 45 true: 16 match: 14 fp: 21 fn: 2 [s1_c02_v02] Precision: 0.6786 Recall:0.7600 F1:0.7170 F2:0.7422 turk: 32 true: 25 match: 19 fp: 9 fn: 6 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 40 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.6818 Recall:0.8824 F1:0.7692 F2:0.8334 turk: 27 true: 17 match: 15 fp: 7 fn: 2 [s1_c02_v05] Precision: 0.6923 Recall:0.6429 F1:0.6667 F2:0.6522 turk: 21 true: 14 match: 9 fp: 4 fn: 5 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 31 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 21 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.8000 Recall:0.8889 F1:0.8421 F2:0.8696 turk: 13 true: 9 match: 8 fp: 2 fn: 1 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 40 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 13 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6471 Recall:0.6667 F1:0.6568 F2:0.6627 turk: 44 true: 33 match: 22 fp: 12 fn: 11 [s1_c04_v04] Precision: 0.7391 Recall:0.8947 F1:0.8095 F2:0.8586 turk: 38 true: 19 match: 17 fp: 6 fn: 2 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 47 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 24 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.5333 Recall:0.8889 F1:0.6666 F2:0.7843 turk: 16 true: 9 match: 8 fp: 7 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9000 Recall:0.5294 F1:0.6667 F2:0.5769 turk: 35 true: 34 match: 18 fp: 2 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 27 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.08 GLOBAL Precision: 0.6218 Recall:0.8056 F1:0.7019 F2:0.7606 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 19 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 53 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4118 Recall:0.8750 F1:0.5600 F2:0.7143 turk: 45 true: 16 match: 14 fp: 20 fn: 2 [s1_c02_v02] Precision: 0.6786 Recall:0.7600 F1:0.7170 F2:0.7422 turk: 32 true: 25 match: 19 fp: 9 fn: 6 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 40 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 28 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.6154 Recall:0.5714 F1:0.5926 F2:0.5797 turk: 20 true: 14 match: 8 fp: 5 fn: 6 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 32 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.8421 Recall:1.0000 F1:0.9143 F2:0.9639 turk: 21 true: 16 match: 16 fp: 3 fn: 0 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 14 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.9565 Recall:0.7586 F1:0.8461 F2:0.7913 turk: 40 true: 29 match: 22 fp: 1 fn: 7 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 13 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6970 Recall:0.6970 F1:0.6970 F2:0.6970 turk: 46 true: 33 match: 23 fp: 10 fn: 10 [s1_c04_v04] Precision: 0.6522 Recall:0.7895 F1:0.7143 F2:0.7576 turk: 38 true: 19 match: 15 fp: 8 fn: 4 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 47 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8333 Recall:0.8333 F1:0.8333 F2:0.8333 turk: 27 true: 12 match: 10 fp: 2 fn: 2 [s1_c05_v02] Precision: 0.5333 Recall:0.8889 F1:0.6666 F2:0.7843 turk: 16 true: 9 match: 8 fp: 7 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9000 Recall:0.5294 F1:0.6667 F2:0.5769 turk: 35 true: 34 match: 18 fp: 2 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 27 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.09 GLOBAL Precision: 0.6191 Recall:0.8005 F1:0.6982 F2:0.7562 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 19 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 53 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4118 Recall:0.8750 F1:0.5600 F2:0.7143 turk: 45 true: 16 match: 14 fp: 20 fn: 2 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 41 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 28 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.6154 Recall:0.5714 F1:0.5926 F2:0.5797 turk: 20 true: 14 match: 8 fp: 5 fn: 6 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 32 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 22 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 15 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.8750 Recall:0.7241 F1:0.7924 F2:0.7500 turk: 40 true: 29 match: 21 fp: 3 fn: 8 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.7273 Recall:0.7273 F1:0.7273 F2:0.7273 turk: 47 true: 33 match: 24 fp: 9 fn: 9 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4722 Recall:0.8500 F1:0.6071 F2:0.7327 turk: 49 true: 20 match: 17 fp: 19 fn: 3 [s1_c05_v01] Precision: 0.8333 Recall:0.8333 F1:0.8333 F2:0.8333 turk: 27 true: 12 match: 10 fp: 2 fn: 2 [s1_c05_v02] Precision: 0.5333 Recall:0.8889 F1:0.6666 F2:0.7843 turk: 16 true: 9 match: 8 fp: 7 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9000 Recall:0.5294 F1:0.6667 F2:0.5769 turk: 35 true: 34 match: 18 fp: 2 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 27 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.1 GLOBAL Precision: 0.6184 Recall:0.7980 F1:0.6968 F2:0.7542 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 19 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2857 Recall:1.0000 F1:0.4444 F2:0.6667 turk: 53 true: 10 match: 10 fp: 25 fn: 0 [s1_c02_v01] Precision: 0.4412 Recall:0.9375 F1:0.6000 F2:0.7653 turk: 44 true: 16 match: 15 fp: 19 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 41 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 28 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.7500 Recall:0.6429 F1:0.6923 F2:0.6618 turk: 20 true: 14 match: 9 fp: 3 fn: 5 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 33 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 22 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 25 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 14 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.9167 Recall:0.7586 F1:0.8302 F2:0.7857 turk: 40 true: 29 match: 22 fp: 2 fn: 7 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 13 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.7273 Recall:0.7273 F1:0.7273 F2:0.7273 turk: 47 true: 33 match: 24 fp: 9 fn: 9 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4722 Recall:0.8500 F1:0.6071 F2:0.7327 turk: 49 true: 20 match: 17 fp: 19 fn: 3 [s1_c05_v01] Precision: 0.8333 Recall:0.8333 F1:0.8333 F2:0.8333 turk: 27 true: 12 match: 10 fp: 2 fn: 2 [s1_c05_v02] Precision: 0.5714 Recall:0.8889 F1:0.6956 F2:0.8000 turk: 16 true: 9 match: 8 fp: 6 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9000 Recall:0.5294 F1:0.6667 F2:0.5769 turk: 35 true: 34 match: 18 fp: 2 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 27 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.11 GLOBAL Precision: 0.6248 Recall:0.8030 F1:0.7028 F2:0.7597 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 19 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6429 Recall:0.9000 F1:0.7500 F2:0.8333 turk: 18 true: 10 match: 9 fp: 5 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2857 Recall:1.0000 F1:0.4444 F2:0.6667 turk: 53 true: 10 match: 10 fp: 25 fn: 0 [s1_c02_v01] Precision: 0.4545 Recall:0.9375 F1:0.6122 F2:0.7732 turk: 44 true: 16 match: 15 fp: 18 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 28 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 33 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5294 Recall:1.0000 F1:0.6923 F2:0.8491 turk: 26 true: 9 match: 9 fp: 8 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 14 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.8750 Recall:0.7241 F1:0.7924 F2:0.7500 turk: 40 true: 29 match: 21 fp: 3 fn: 8 [s1_c04_v02] Precision: 1.0000 Recall:0.5000 F1:0.6667 F2:0.5556 turk: 13 true: 22 match: 11 fp: 0 fn: 11 [s1_c04_v03] Precision: 0.7273 Recall:0.7273 F1:0.7273 F2:0.7273 turk: 47 true: 33 match: 24 fp: 9 fn: 9 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4595 Recall:0.8500 F1:0.5965 F2:0.7265 turk: 49 true: 20 match: 17 fp: 20 fn: 3 [s1_c05_v01] Precision: 0.9000 Recall:0.7500 F1:0.8182 F2:0.7759 turk: 26 true: 12 match: 9 fp: 1 fn: 3 [s1_c05_v02] Precision: 0.5000 Recall:0.7778 F1:0.6087 F2:0.7000 turk: 16 true: 9 match: 7 fp: 7 fn: 2 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 29 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.12 GLOBAL Precision: 0.6206 Recall:0.7929 F1:0.6962 F2:0.7512 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 20 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2857 Recall:1.0000 F1:0.4444 F2:0.6667 turk: 53 true: 10 match: 10 fp: 25 fn: 0 [s1_c02_v01] Precision: 0.4545 Recall:0.9375 F1:0.6122 F2:0.7732 turk: 46 true: 16 match: 15 fp: 18 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 28 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7000 Recall:0.8750 F1:0.7778 F2:0.8333 turk: 24 true: 16 match: 14 fp: 6 fn: 2 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 33 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.7778 Recall:0.8750 F1:0.8235 F2:0.8537 turk: 21 true: 16 match: 14 fp: 4 fn: 2 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 14 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.8750 Recall:0.7241 F1:0.7924 F2:0.7500 turk: 40 true: 29 match: 21 fp: 3 fn: 8 [s1_c04_v02] Precision: 0.9091 Recall:0.4545 F1:0.6060 F2:0.5050 turk: 13 true: 22 match: 10 fp: 1 fn: 12 [s1_c04_v03] Precision: 0.7273 Recall:0.7273 F1:0.7273 F2:0.7273 turk: 47 true: 33 match: 24 fp: 9 fn: 9 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4595 Recall:0.8500 F1:0.5965 F2:0.7265 turk: 49 true: 20 match: 17 fp: 20 fn: 3 [s1_c05_v01] Precision: 0.9000 Recall:0.7500 F1:0.8182 F2:0.7759 turk: 26 true: 12 match: 9 fp: 1 fn: 3 [s1_c05_v02] Precision: 0.5000 Recall:0.7778 F1:0.6087 F2:0.7000 turk: 16 true: 9 match: 7 fp: 7 fn: 2 [s1_c05_v03] Precision: 0.7143 Recall:0.9091 F1:0.8000 F2:0.8621 turk: 24 true: 11 match: 10 fp: 4 fn: 1 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 28 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.13 GLOBAL Precision: 0.6154 Recall:0.7879 F1:0.6910 F2:0.7461 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 20 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 54 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4545 Recall:0.9375 F1:0.6122 F2:0.7732 turk: 46 true: 16 match: 15 fp: 18 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.5909 Recall:0.7647 F1:0.6667 F2:0.7222 turk: 28 true: 17 match: 13 fp: 9 fn: 4 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7500 Recall:0.9375 F1:0.8333 F2:0.8929 turk: 26 true: 16 match: 15 fp: 5 fn: 1 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 33 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 15 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.8800 Recall:0.7586 F1:0.8148 F2:0.7801 turk: 41 true: 29 match: 22 fp: 3 fn: 7 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6667 Recall:0.6667 F1:0.6667 F2:0.6667 turk: 47 true: 33 match: 22 fp: 11 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4324 Recall:0.8000 F1:0.5614 F2:0.6837 turk: 49 true: 20 match: 16 fp: 21 fn: 4 [s1_c05_v01] Precision: 0.9000 Recall:0.7500 F1:0.8182 F2:0.7759 turk: 26 true: 12 match: 9 fp: 1 fn: 3 [s1_c05_v02] Precision: 0.5385 Recall:0.7778 F1:0.6364 F2:0.7143 turk: 15 true: 9 match: 7 fp: 6 fn: 2 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 37 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.6522 Recall:0.8824 F1:0.7500 F2:0.8242 turk: 27 true: 17 match: 15 fp: 8 fn: 2 ===================================== eps: 0.14 GLOBAL Precision: 0.6178 Recall:0.7879 F1:0.6926 F2:0.7468 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6667 Recall:0.8571 F1:0.7500 F2:0.8108 turk: 21 true: 14 match: 12 fp: 6 fn: 2 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 54 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4839 Recall:0.9375 F1:0.6383 F2:0.7895 turk: 46 true: 16 match: 15 fp: 16 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 29 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 25 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 33 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 15 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.8800 Recall:0.7586 F1:0.8148 F2:0.7801 turk: 41 true: 29 match: 22 fp: 3 fn: 7 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6667 Recall:0.6667 F1:0.6667 F2:0.6667 turk: 47 true: 33 match: 22 fp: 11 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4595 Recall:0.8500 F1:0.5965 F2:0.7265 turk: 49 true: 20 match: 17 fp: 20 fn: 3 [s1_c05_v01] Precision: 0.9091 Recall:0.8333 F1:0.8696 F2:0.8474 turk: 25 true: 12 match: 10 fp: 1 fn: 2 [s1_c05_v02] Precision: 0.5385 Recall:0.7778 F1:0.6364 F2:0.7143 turk: 15 true: 9 match: 7 fp: 6 fn: 2 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7391 Recall:1.0000 F1:0.8500 F2:0.9341 turk: 27 true: 17 match: 17 fp: 6 fn: 0 ===================================== eps: 0.15 GLOBAL Precision: 0.6282 Recall:0.7980 F1:0.7030 F2:0.7571 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6667 Recall:0.8571 F1:0.7500 F2:0.8108 turk: 21 true: 14 match: 12 fp: 6 fn: 2 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 55 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.4839 Recall:0.9375 F1:0.6383 F2:0.7895 turk: 46 true: 16 match: 15 fp: 16 fn: 1 [s1_c02_v02] Precision: 0.6429 Recall:0.7200 F1:0.6793 F2:0.7031 turk: 33 true: 25 match: 18 fp: 10 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.5909 Recall:0.7647 F1:0.6667 F2:0.7222 turk: 29 true: 17 match: 13 fp: 9 fn: 4 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 33 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 15 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.9231 Recall:0.8276 F1:0.8727 F2:0.8451 turk: 42 true: 29 match: 24 fp: 2 fn: 5 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 13 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.7273 Recall:0.7273 F1:0.7273 F2:0.7273 turk: 47 true: 33 match: 24 fp: 9 fn: 9 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4865 Recall:0.9000 F1:0.6316 F2:0.7692 turk: 49 true: 20 match: 18 fp: 19 fn: 2 [s1_c05_v01] Precision: 0.9091 Recall:0.8333 F1:0.8696 F2:0.8474 turk: 25 true: 12 match: 10 fp: 1 fn: 2 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.6957 Recall:0.9412 F1:0.8000 F2:0.8792 turk: 26 true: 17 match: 16 fp: 7 fn: 1 ===================================== eps: 0.16 GLOBAL Precision: 0.6342 Recall:0.8056 F1:0.7097 F2:0.7643 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7059 Recall:0.8571 F1:0.7742 F2:0.8219 turk: 21 true: 14 match: 12 fp: 5 fn: 2 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 55 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 47 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 32 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.6087 Recall:0.8235 F1:0.7000 F2:0.7692 turk: 29 true: 17 match: 14 fp: 9 fn: 3 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 35 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.7273 Recall:0.8889 F1:0.8000 F2:0.8511 turk: 15 true: 9 match: 8 fp: 3 fn: 1 [s1_c04_v01] Precision: 0.8846 Recall:0.7931 F1:0.8364 F2:0.8099 turk: 42 true: 29 match: 23 fp: 3 fn: 6 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6970 Recall:0.6970 F1:0.6970 F2:0.6970 turk: 47 true: 33 match: 23 fp: 10 fn: 10 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4865 Recall:0.9000 F1:0.6316 F2:0.7692 turk: 49 true: 20 match: 18 fp: 19 fn: 2 [s1_c05_v01] Precision: 0.9091 Recall:0.8333 F1:0.8696 F2:0.8474 turk: 25 true: 12 match: 10 fp: 1 fn: 2 [s1_c05_v02] Precision: 0.5385 Recall:0.7778 F1:0.6364 F2:0.7143 turk: 16 true: 9 match: 7 fp: 6 fn: 2 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7391 Recall:1.0000 F1:0.8500 F2:0.9341 turk: 26 true: 17 match: 17 fp: 6 fn: 0 ===================================== eps: 0.17 GLOBAL Precision: 0.6355 Recall:0.8056 F1:0.7105 F2:0.7647 [s1_c01_v01] Precision: 0.3750 Recall:0.8571 F1:0.5217 F2:0.6818 turk: 19 true: 7 match: 6 fp: 10 fn: 1 [s1_c01_v02] Precision: 0.7647 Recall:0.9286 F1:0.8387 F2:0.8904 turk: 21 true: 14 match: 13 fp: 4 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 55 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 47 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6923 Recall:0.7200 F1:0.7059 F2:0.7143 turk: 32 true: 25 match: 18 fp: 8 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.6087 Recall:0.8235 F1:0.7000 F2:0.7692 turk: 29 true: 17 match: 14 fp: 9 fn: 3 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 35 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9231 Recall:0.8276 F1:0.8727 F2:0.8451 turk: 41 true: 29 match: 24 fp: 2 fn: 5 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6970 Recall:0.6970 F1:0.6970 F2:0.6970 turk: 47 true: 33 match: 23 fp: 10 fn: 10 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.5000 Recall:0.9000 F1:0.6429 F2:0.7759 turk: 49 true: 20 match: 18 fp: 18 fn: 2 [s1_c05_v01] Precision: 0.8333 Recall:0.8333 F1:0.8333 F2:0.8333 turk: 26 true: 12 match: 10 fp: 2 fn: 2 [s1_c05_v02] Precision: 0.5385 Recall:0.7778 F1:0.6364 F2:0.7143 turk: 16 true: 9 match: 7 fp: 6 fn: 2 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 24 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.6667 Recall:0.9412 F1:0.7805 F2:0.8696 turk: 26 true: 17 match: 16 fp: 8 fn: 1 ===================================== eps: 0.18 GLOBAL Precision: 0.6342 Recall:0.8056 F1:0.7097 F2:0.7643 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 23 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 55 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 47 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6923 Recall:0.7200 F1:0.7059 F2:0.7143 turk: 32 true: 25 match: 18 fp: 8 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.5652 Recall:0.7647 F1:0.6500 F2:0.7143 turk: 30 true: 17 match: 13 fp: 10 fn: 4 [s1_c02_v05] Precision: 0.7500 Recall:0.6429 F1:0.6923 F2:0.6618 turk: 21 true: 14 match: 9 fp: 3 fn: 5 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 35 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 26 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.8800 Recall:0.7586 F1:0.8148 F2:0.7801 turk: 42 true: 29 match: 22 fp: 3 fn: 7 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 13 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6667 Recall:0.6667 F1:0.6667 F2:0.6667 turk: 48 true: 33 match: 22 fp: 11 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 38 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.5000 Recall:0.9000 F1:0.6429 F2:0.7759 turk: 49 true: 20 match: 18 fp: 18 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.5385 Recall:0.7778 F1:0.6364 F2:0.7143 turk: 16 true: 9 match: 7 fp: 6 fn: 2 [s1_c05_v03] Precision: 0.7143 Recall:0.9091 F1:0.8000 F2:0.8621 turk: 25 true: 11 match: 10 fp: 4 fn: 1 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7083 Recall:1.0000 F1:0.8292 F2:0.9239 turk: 26 true: 17 match: 17 fp: 7 fn: 0 ===================================== eps: 0.19 GLOBAL Precision: 0.6270 Recall:0.7980 F1:0.7022 F2:0.7567 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 23 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 19 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.2941 Recall:1.0000 F1:0.4545 F2:0.6757 turk: 55 true: 10 match: 10 fp: 24 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 47 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 31 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3333 Recall:0.8889 F1:0.4848 F2:0.6666 turk: 40 true: 9 match: 8 fp: 16 fn: 1 [s1_c02_v04] Precision: 0.5652 Recall:0.7647 F1:0.6500 F2:0.7143 turk: 30 true: 17 match: 13 fp: 10 fn: 4 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5455 Recall:1.0000 F1:0.7059 F2:0.8572 turk: 34 true: 12 match: 12 fp: 10 fn: 0 [s1_c03_v03] Precision: 0.7778 Recall:0.8750 F1:0.8235 F2:0.8537 turk: 21 true: 16 match: 14 fp: 4 fn: 2 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 27 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.8750 Recall:0.7241 F1:0.7924 F2:0.7500 turk: 43 true: 29 match: 21 fp: 3 fn: 8 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 13 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 46 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.7391 Recall:0.8947 F1:0.8095 F2:0.8586 turk: 40 true: 19 match: 17 fp: 6 fn: 2 [s1_c04_v05] Precision: 0.5000 Recall:0.9000 F1:0.6429 F2:0.7759 turk: 49 true: 20 match: 18 fp: 18 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7143 Recall:0.9091 F1:0.8000 F2:0.8621 turk: 25 true: 11 match: 10 fp: 4 fn: 1 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.6818 Recall:0.8824 F1:0.7692 F2:0.8334 turk: 25 true: 17 match: 15 fp: 7 fn: 2 ===================================== eps: 0.2 GLOBAL Precision: 0.6280 Recall:0.7929 F1:0.7009 F2:0.7533 [s1_c01_v01] Precision: 0.3750 Recall:0.8571 F1:0.5217 F2:0.6818 turk: 19 true: 7 match: 6 fp: 10 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 23 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6000 Recall:0.9000 F1:0.7200 F2:0.8182 turk: 19 true: 10 match: 9 fp: 6 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 47 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 31 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 39 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5652 Recall:0.7647 F1:0.6500 F2:0.7143 turk: 30 true: 17 match: 13 fp: 10 fn: 4 [s1_c02_v05] Precision: 0.6667 Recall:0.5714 F1:0.6154 F2:0.5882 turk: 21 true: 14 match: 8 fp: 4 fn: 6 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 34 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 21 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 27 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9167 Recall:0.7586 F1:0.8302 F2:0.7857 turk: 43 true: 29 match: 22 fp: 2 fn: 7 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 14 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6563 Recall:0.6364 F1:0.6462 F2:0.6403 turk: 46 true: 33 match: 21 fp: 11 fn: 12 [s1_c04_v04] Precision: 0.7083 Recall:0.8947 F1:0.7907 F2:0.8500 turk: 40 true: 19 match: 17 fp: 7 fn: 2 [s1_c04_v05] Precision: 0.5000 Recall:0.9000 F1:0.6429 F2:0.7759 turk: 48 true: 20 match: 18 fp: 18 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 25 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.21 GLOBAL Precision: 0.6345 Recall:0.7980 F1:0.7069 F2:0.7589 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.6842 Recall:0.9286 F1:0.7879 F2:0.8667 turk: 23 true: 14 match: 13 fp: 6 fn: 1 [s1_c01_v03] Precision: 0.6000 Recall:0.9000 F1:0.7200 F2:0.8182 turk: 19 true: 10 match: 9 fp: 6 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 47 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 32 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 38 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5652 Recall:0.7647 F1:0.6500 F2:0.7143 turk: 30 true: 17 match: 13 fp: 10 fn: 4 [s1_c02_v05] Precision: 0.7692 Recall:0.7143 F1:0.7407 F2:0.7246 turk: 21 true: 14 match: 10 fp: 3 fn: 4 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5500 Recall:0.9167 F1:0.6875 F2:0.8088 turk: 35 true: 12 match: 11 fp: 9 fn: 1 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 20 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 26 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9565 Recall:0.7586 F1:0.8461 F2:0.7913 turk: 43 true: 29 match: 22 fp: 1 fn: 7 [s1_c04_v02] Precision: 1.0000 Recall:0.5455 F1:0.7059 F2:0.6000 turk: 14 true: 22 match: 12 fp: 0 fn: 10 [s1_c04_v03] Precision: 0.6563 Recall:0.6364 F1:0.6462 F2:0.6403 turk: 46 true: 33 match: 21 fp: 11 fn: 12 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4474 Recall:0.8500 F1:0.5862 F2:0.7204 turk: 48 true: 20 match: 17 fp: 21 fn: 3 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.6923 Recall:1.0000 F1:0.8182 F2:0.9184 turk: 16 true: 9 match: 9 fp: 4 fn: 0 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 24 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.22 GLOBAL Precision: 0.6358 Recall:0.7980 F1:0.7077 F2:0.7593 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7222 Recall:0.9286 F1:0.8125 F2:0.8784 turk: 24 true: 14 match: 13 fp: 5 fn: 1 [s1_c01_v03] Precision: 0.6000 Recall:0.9000 F1:0.7200 F2:0.8182 turk: 20 true: 10 match: 9 fp: 6 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.4839 Recall:0.9375 F1:0.6383 F2:0.7895 turk: 48 true: 16 match: 15 fp: 16 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 32 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 38 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5652 Recall:0.7647 F1:0.6500 F2:0.7143 turk: 30 true: 17 match: 13 fp: 10 fn: 4 [s1_c02_v05] Precision: 0.7692 Recall:0.7143 F1:0.7407 F2:0.7246 turk: 21 true: 14 match: 10 fp: 3 fn: 4 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.5500 Recall:0.9167 F1:0.6875 F2:0.8088 turk: 35 true: 12 match: 11 fp: 9 fn: 1 [s1_c03_v03] Precision: 0.7778 Recall:0.8750 F1:0.8235 F2:0.8537 turk: 20 true: 16 match: 14 fp: 4 fn: 2 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 26 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 42 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 14 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 47 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 49 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8333 Recall:0.8333 F1:0.8333 F2:0.8333 turk: 27 true: 12 match: 10 fp: 2 fn: 2 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9474 Recall:0.5294 F1:0.6792 F2:0.5806 turk: 36 true: 34 match: 18 fp: 1 fn: 16 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 24 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.23 GLOBAL Precision: 0.6310 Recall:0.7904 F1:0.7018 F2:0.7524 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7222 Recall:0.9286 F1:0.8125 F2:0.8784 turk: 24 true: 14 match: 13 fp: 5 fn: 1 [s1_c01_v03] Precision: 0.6000 Recall:0.9000 F1:0.7200 F2:0.8182 turk: 20 true: 10 match: 9 fp: 6 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 52 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.4839 Recall:0.9375 F1:0.6383 F2:0.7895 turk: 48 true: 16 match: 15 fp: 16 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 32 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 37 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5652 Recall:0.7647 F1:0.6500 F2:0.7143 turk: 29 true: 17 match: 13 fp: 10 fn: 4 [s1_c02_v05] Precision: 0.7692 Recall:0.7143 F1:0.7407 F2:0.7246 turk: 21 true: 14 match: 10 fp: 3 fn: 4 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 35 true: 12 match: 12 fp: 8 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 20 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 26 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 42 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 14 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 47 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 49 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9444 Recall:0.5000 F1:0.6538 F2:0.5519 turk: 36 true: 34 match: 17 fp: 1 fn: 17 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 24 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.24 GLOBAL Precision: 0.6351 Recall:0.7955 F1:0.7063 F2:0.7572 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 20 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7222 Recall:0.9286 F1:0.8125 F2:0.8784 turk: 24 true: 14 match: 13 fp: 5 fn: 1 [s1_c01_v03] Precision: 0.6000 Recall:0.9000 F1:0.7200 F2:0.8182 turk: 20 true: 10 match: 9 fp: 6 fn: 1 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 48 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6667 Recall:0.7200 F1:0.6923 F2:0.7087 turk: 32 true: 25 match: 18 fp: 9 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 37 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5455 Recall:0.7059 F1:0.6154 F2:0.6667 turk: 30 true: 17 match: 12 fp: 10 fn: 5 [s1_c02_v05] Precision: 0.8333 Recall:0.7143 F1:0.7692 F2:0.7353 turk: 22 true: 14 match: 10 fp: 2 fn: 4 [s1_c03_v01] Precision: 0.7895 Recall:0.9375 F1:0.8572 F2:0.9036 turk: 24 true: 16 match: 15 fp: 4 fn: 1 [s1_c03_v02] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 35 true: 12 match: 12 fp: 8 fn: 0 [s1_c03_v03] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 20 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 26 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 42 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 14 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 47 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 49 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.7692 Recall:0.8333 F1:0.8000 F2:0.8196 turk: 26 true: 12 match: 10 fp: 3 fn: 2 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9444 Recall:0.5000 F1:0.6538 F2:0.5519 turk: 36 true: 34 match: 17 fp: 1 fn: 17 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 24 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.25 GLOBAL Precision: 0.6349 Recall:0.7904 F1:0.7042 F2:0.7535 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 19 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7222 Recall:0.9286 F1:0.8125 F2:0.8784 turk: 24 true: 14 match: 13 fp: 5 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 20 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 48 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.6923 Recall:0.7200 F1:0.7059 F2:0.7143 turk: 32 true: 25 match: 18 fp: 8 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 37 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5909 Recall:0.7647 F1:0.6667 F2:0.7222 turk: 29 true: 17 match: 13 fp: 9 fn: 4 [s1_c02_v05] Precision: 0.8333 Recall:0.7143 F1:0.7692 F2:0.7353 turk: 22 true: 14 match: 10 fp: 2 fn: 4 [s1_c03_v01] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 24 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v02] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 35 true: 12 match: 12 fp: 8 fn: 0 [s1_c03_v03] Precision: 0.8421 Recall:1.0000 F1:0.9143 F2:0.9639 turk: 21 true: 16 match: 16 fp: 3 fn: 0 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 26 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9130 Recall:0.7241 F1:0.8077 F2:0.7554 turk: 42 true: 29 match: 21 fp: 2 fn: 8 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 14 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.6875 Recall:0.6667 F1:0.6769 F2:0.6708 turk: 46 true: 33 match: 22 fp: 10 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 50 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 16 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7143 Recall:0.9091 F1:0.8000 F2:0.8621 turk: 25 true: 11 match: 10 fp: 4 fn: 1 [s1_c05_v04] Precision: 0.9444 Recall:0.5000 F1:0.6538 F2:0.5519 turk: 36 true: 34 match: 17 fp: 1 fn: 17 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 24 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.26 GLOBAL Precision: 0.6410 Recall:0.7980 F1:0.7109 F2:0.7607 [s1_c01_v01] Precision: 0.3750 Recall:0.8571 F1:0.5217 F2:0.6818 turk: 18 true: 7 match: 6 fp: 10 fn: 1 [s1_c01_v02] Precision: 0.7222 Recall:0.9286 F1:0.8125 F2:0.8784 turk: 24 true: 14 match: 13 fp: 5 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 20 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 48 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.7200 Recall:0.7200 F1:0.7200 F2:0.7200 turk: 32 true: 25 match: 18 fp: 7 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 37 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5909 Recall:0.7647 F1:0.6667 F2:0.7222 turk: 29 true: 17 match: 13 fp: 9 fn: 4 [s1_c02_v05] Precision: 0.7500 Recall:0.6429 F1:0.6923 F2:0.6618 turk: 22 true: 14 match: 9 fp: 3 fn: 5 [s1_c03_v01] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 24 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v02] Precision: 0.5500 Recall:0.9167 F1:0.6875 F2:0.8088 turk: 35 true: 12 match: 11 fp: 9 fn: 1 [s1_c03_v03] Precision: 0.8421 Recall:1.0000 F1:0.9143 F2:0.9639 turk: 21 true: 16 match: 16 fp: 3 fn: 0 [s1_c03_v04] Precision: 0.6000 Recall:1.0000 F1:0.7500 F2:0.8824 turk: 26 true: 9 match: 9 fp: 6 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9091 Recall:0.6897 F1:0.7843 F2:0.7247 turk: 42 true: 29 match: 20 fp: 2 fn: 9 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 14 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.7419 Recall:0.6970 F1:0.7187 F2:0.7055 turk: 46 true: 33 match: 23 fp: 8 fn: 10 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 50 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.5714 Recall:0.8889 F1:0.6956 F2:0.8000 turk: 17 true: 9 match: 8 fp: 6 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.9444 Recall:0.5000 F1:0.6538 F2:0.5519 turk: 36 true: 34 match: 17 fp: 1 fn: 17 [s1_c05_v05] Precision: 0.7727 Recall:1.0000 F1:0.8718 F2:0.9444 turk: 24 true: 17 match: 17 fp: 5 fn: 0 ===================================== eps: 0.27 GLOBAL Precision: 0.6423 Recall:0.7980 F1:0.7117 F2:0.7611 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 18 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7222 Recall:0.9286 F1:0.8125 F2:0.8784 turk: 24 true: 14 match: 13 fp: 5 fn: 1 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 20 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 54 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 48 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.7200 Recall:0.7200 F1:0.7200 F2:0.7200 turk: 31 true: 25 match: 18 fp: 7 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 36 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.5909 Recall:0.7647 F1:0.6667 F2:0.7222 turk: 30 true: 17 match: 13 fp: 9 fn: 4 [s1_c02_v05] Precision: 0.8333 Recall:0.7143 F1:0.7692 F2:0.7353 turk: 22 true: 14 match: 10 fp: 2 fn: 4 [s1_c03_v01] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 24 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v02] Precision: 0.5500 Recall:0.9167 F1:0.6875 F2:0.8088 turk: 35 true: 12 match: 11 fp: 9 fn: 1 [s1_c03_v03] Precision: 0.8421 Recall:1.0000 F1:0.9143 F2:0.9639 turk: 21 true: 16 match: 16 fp: 3 fn: 0 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 27 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9091 Recall:0.6897 F1:0.7843 F2:0.7247 turk: 42 true: 29 match: 20 fp: 2 fn: 9 [s1_c04_v02] Precision: 0.9167 Recall:0.5000 F1:0.6471 F2:0.5500 turk: 14 true: 22 match: 11 fp: 1 fn: 11 [s1_c04_v03] Precision: 0.7097 Recall:0.6667 F1:0.6875 F2:0.6749 turk: 46 true: 33 match: 22 fp: 9 fn: 11 [s1_c04_v04] Precision: 0.6957 Recall:0.8421 F1:0.7619 F2:0.8081 turk: 41 true: 19 match: 16 fp: 7 fn: 3 [s1_c04_v05] Precision: 0.4737 Recall:0.9000 F1:0.6207 F2:0.7627 turk: 49 true: 20 match: 18 fp: 20 fn: 2 [s1_c05_v01] Precision: 0.8462 Recall:0.9167 F1:0.8800 F2:0.9017 turk: 26 true: 12 match: 11 fp: 2 fn: 1 [s1_c05_v02] Precision: 0.5714 Recall:0.8889 F1:0.6956 F2:0.8000 turk: 17 true: 9 match: 8 fp: 6 fn: 1 [s1_c05_v03] Precision: 0.7143 Recall:0.9091 F1:0.8000 F2:0.8621 turk: 25 true: 11 match: 10 fp: 4 fn: 1 [s1_c05_v04] Precision: 0.9444 Recall:0.5000 F1:0.6538 F2:0.5519 turk: 36 true: 34 match: 17 fp: 1 fn: 17 [s1_c05_v05] Precision: 0.7273 Recall:0.9412 F1:0.8205 F2:0.8889 turk: 24 true: 17 match: 16 fp: 6 fn: 1 ===================================== eps: 0.28 GLOBAL Precision: 0.6382 Recall:0.7929 F1:0.7072 F2:0.7562 [s1_c01_v01] Precision: 0.4000 Recall:0.8571 F1:0.5454 F2:0.6977 turk: 18 true: 7 match: 6 fp: 9 fn: 1 [s1_c01_v02] Precision: 0.7000 Recall:1.0000 F1:0.8235 F2:0.9211 turk: 25 true: 14 match: 14 fp: 6 fn: 0 [s1_c01_v03] Precision: 0.6250 Recall:1.0000 F1:0.7692 F2:0.8929 turk: 20 true: 10 match: 10 fp: 6 fn: 0 [s1_c01_v04] Precision: 0.5714 Recall:0.6667 F1:0.6154 F2:0.6452 turk: 12 true: 6 match: 4 fp: 3 fn: 2 [s1_c01_v05] Precision: 0.3030 Recall:1.0000 F1:0.4651 F2:0.6849 turk: 53 true: 10 match: 10 fp: 23 fn: 0 [s1_c02_v01] Precision: 0.5000 Recall:0.9375 F1:0.6522 F2:0.7979 turk: 48 true: 16 match: 15 fp: 15 fn: 1 [s1_c02_v02] Precision: 0.7200 Recall:0.7200 F1:0.7200 F2:0.7200 turk: 31 true: 25 match: 18 fp: 7 fn: 7 [s1_c02_v03] Precision: 0.3478 Recall:0.8889 F1:0.5000 F2:0.6780 turk: 36 true: 9 match: 8 fp: 15 fn: 1 [s1_c02_v04] Precision: 0.6364 Recall:0.8235 F1:0.7180 F2:0.7778 turk: 30 true: 17 match: 14 fp: 8 fn: 3 [s1_c02_v05] Precision: 0.8333 Recall:0.7143 F1:0.7692 F2:0.7353 turk: 22 true: 14 match: 10 fp: 2 fn: 4 [s1_c03_v01] Precision: 0.8333 Recall:0.9375 F1:0.8823 F2:0.9146 turk: 24 true: 16 match: 15 fp: 3 fn: 1 [s1_c03_v02] Precision: 0.5714 Recall:1.0000 F1:0.7272 F2:0.8696 turk: 35 true: 12 match: 12 fp: 9 fn: 0 [s1_c03_v03] Precision: 0.8421 Recall:1.0000 F1:0.9143 F2:0.9639 turk: 20 true: 16 match: 16 fp: 3 fn: 0 [s1_c03_v04] Precision: 0.5625 Recall:1.0000 F1:0.7200 F2:0.8654 turk: 27 true: 9 match: 9 fp: 7 fn: 0 [s1_c03_v05] Precision: 0.6364 Recall:0.7778 F1:0.7000 F2:0.7447 turk: 14 true: 9 match: 7 fp: 4 fn: 2 [s1_c04_v01] Precision: 0.9091 Recall:0.6897 F1:0.7843 F2:0.7247 turk: 42 true: 29 match: 20 fp: 2 fn: 9 [s1_c04_v02] Precision: 0.8333 Recall:0.4545 F1:0.5882 F2:0.5000 turk: 14 true: 22 match: 10 fp: 2 fn: 12 [s1_c04_v03] Precision: 0.7333 Recall:0.6667 F1:0.6984 F2:0.6790 turk: 45 true: 33 match: 22 fp: 8 fn: 11 [s1_c04_v04] Precision: 0.7083 Recall:0.8947 F1:0.7907 F2:0.8500 turk: 40 true: 19 match: 17 fp: 7 fn: 2 [s1_c04_v05] Precision: 0.4595 Recall:0.8500 F1:0.5965 F2:0.7265 turk: 50 true: 20 match: 17 fp: 20 fn: 3 [s1_c05_v01] Precision: 0.8333 Recall:0.8333 F1:0.8333 F2:0.8333 turk: 27 true: 12 match: 10 fp: 2 fn: 2 [s1_c05_v02] Precision: 0.6154 Recall:0.8889 F1:0.7273 F2:0.8163 turk: 17 true: 9 match: 8 fp: 5 fn: 1 [s1_c05_v03] Precision: 0.7857 Recall:1.0000 F1:0.8800 F2:0.9483 turk: 25 true: 11 match: 11 fp: 3 fn: 0 [s1_c05_v04] Precision: 0.8947 Recall:0.5000 F1:0.6415 F2:0.5484 turk: 36 true: 34 match: 17 fp: 2 fn: 17 [s1_c05_v05] Precision: 0.7727 Recall:1.0000 F1:0.8718 F2:0.9444 turk: 24 true: 17 match: 17 fp: 5 fn: 0 ===================================== eps: 0.29 GLOBAL Precision: 0.6430 Recall:0.8005 F1:0.7132 F2:0.7631