/Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.datasq s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.5714 Recall:0.8045 F1:0.6682 F2:0.7438 eps: 0.02 GLOBAL Precision: 0.5677 Recall:0.8074 F1:0.6667 F2:0.7445 eps: 0.03 GLOBAL Precision: 0.5542 Recall:0.7960 F1:0.6534 F2:0.7321 eps: 0.04 GLOBAL Precision: 0.5547 Recall:0.7904 F1:0.6519 F2:0.7285 eps: 0.05 GLOBAL Precision: 0.5540 Recall:0.7989 F1:0.6543 F2:0.7340 eps: 0.06 GLOBAL Precision: 0.5547 Recall:0.8045 F1:0.6566 F2:0.7380 eps: 0.07 GLOBAL Precision: 0.5476 Recall:0.7989 F1:0.6498 F2:0.7317 eps: 0.08 GLOBAL Precision: 0.5484 Recall:0.8017 F1:0.6513 F2:0.7339 eps: 0.09 GLOBAL Precision: 0.5484 Recall:0.8017 F1:0.6513 F2:0.7339 eps: 0.1 GLOBAL Precision: 0.5488 Recall:0.7960 F1:0.6497 F2:0.7302 eps: 0.11 GLOBAL Precision: 0.5549 Recall:0.8017 F1:0.6559 F2:0.7362 eps: 0.12 GLOBAL Precision: 0.5481 Recall:0.7904 F1:0.6473 F2:0.7262 eps: 0.13 GLOBAL Precision: 0.5519 Recall:0.7989 F1:0.6528 F2:0.7333 eps: 0.14 GLOBAL Precision: 0.5577 Recall:0.8074 F1:0.6597 F2:0.7410 eps: 0.15 GLOBAL Precision: 0.5597 Recall:0.8102 F1:0.6620 F2:0.7436 eps: 0.16 GLOBAL Precision: 0.5636 Recall:0.8159 F1:0.6667 F2:0.7489 eps: 0.17 GLOBAL Precision: 0.5560 Recall:0.8017 F1:0.6566 F2:0.7366 eps: 0.18 GLOBAL Precision: 0.5501 Recall:0.7932 F1:0.6497 F2:0.7288 eps: 0.19 GLOBAL Precision: 0.5490 Recall:0.7932 F1:0.6489 F2:0.7284 eps: 0.2 GLOBAL Precision: 0.5494 Recall:0.7875 F1:0.6472 F2:0.7247 eps: 0.21 GLOBAL Precision: 0.5536 Recall:0.7904 F1:0.6511 F2:0.7281 eps: 0.22 GLOBAL Precision: 0.5646 Recall:0.8045 F1:0.6635 F2:0.7415 eps: 0.23 GLOBAL Precision: 0.5629 Recall:0.7989 F1:0.6605 F2:0.7371 eps: 0.24 GLOBAL Precision: 0.5609 Recall:0.7960 F1:0.6581 F2:0.7344 eps: 0.25 GLOBAL Precision: 0.5614 Recall:0.7904 F1:0.6565 F2:0.7308 eps: 0.26 GLOBAL Precision: 0.5657 Recall:0.7932 F1:0.6604 F2:0.7342 eps: 0.27 GLOBAL Precision: 0.5648 Recall:0.7904 F1:0.6588 F2:0.7319 eps: 0.28 GLOBAL Precision: 0.5659 Recall:0.7904 F1:0.6596 F2:0.7323 eps: 0.29 GLOBAL Precision: 0.5628 Recall:0.7875 F1:0.6565 F2:0.7293 /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.datasq2 s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.5714 Recall:0.8045 F1:0.6682 F2:0.7438 eps: 0.02 GLOBAL Precision: 0.5677 Recall:0.8074 F1:0.6667 F2:0.7445 eps: 0.03 GLOBAL Precision: 0.5542 Recall:0.7960 F1:0.6534 F2:0.7321 eps: 0.04 GLOBAL Precision: 0.5547 Recall:0.7904 F1:0.6519 F2:0.7285 eps: 0.05 GLOBAL Precision: 0.5501 Recall:0.7932 F1:0.6497 F2:0.7288 eps: 0.06 GLOBAL Precision: 0.5527 Recall:0.8017 F1:0.6543 F2:0.7354 eps: 0.07 GLOBAL Precision: 0.5534 Recall:0.8074 F1:0.6567 F2:0.7395 eps: 0.08 GLOBAL Precision: 0.5484 Recall:0.8017 F1:0.6513 F2:0.7339 eps: 0.09 GLOBAL Precision: 0.5426 Recall:0.7932 F1:0.6444 F2:0.7261 eps: 0.1 GLOBAL Precision: 0.5527 Recall:0.8017 F1:0.6543 F2:0.7354 eps: 0.11 GLOBAL Precision: 0.5510 Recall:0.7960 F1:0.6512 F2:0.7310 eps: 0.12 GLOBAL Precision: 0.5481 Recall:0.7904 F1:0.6473 F2:0.7262 eps: 0.13 GLOBAL Precision: 0.5538 Recall:0.8017 F1:0.6551 F2:0.7358 eps: 0.14 GLOBAL Precision: 0.5519 Recall:0.7989 F1:0.6528 F2:0.7333 eps: 0.15 GLOBAL Precision: 0.5538 Recall:0.8017 F1:0.6551 F2:0.7358 eps: 0.16 GLOBAL Precision: 0.5577 Recall:0.8074 F1:0.6597 F2:0.7410 eps: 0.17 GLOBAL Precision: 0.5619 Recall:0.8102 F1:0.6636 F2:0.7444 eps: 0.18 GLOBAL Precision: 0.5639 Recall:0.8130 F1:0.6659 F2:0.7470 eps: 0.19 GLOBAL Precision: 0.5510 Recall:0.7960 F1:0.6512 F2:0.7310 eps: 0.2 GLOBAL Precision: 0.5534 Recall:0.7932 F1:0.6519 F2:0.7299 eps: 0.21 GLOBAL Precision: 0.5575 Recall:0.7960 F1:0.6557 F2:0.7333 eps: 0.22 GLOBAL Precision: 0.5567 Recall:0.7932 F1:0.6542 F2:0.7311 eps: 0.23 GLOBAL Precision: 0.5589 Recall:0.7932 F1:0.6557 F2:0.7318 eps: 0.24 GLOBAL Precision: 0.5569 Recall:0.7904 F1:0.6534 F2:0.7292 eps: 0.25 GLOBAL Precision: 0.5614 Recall:0.7904 F1:0.6565 F2:0.7308 eps: 0.26 GLOBAL Precision: 0.5657 Recall:0.7932 F1:0.6604 F2:0.7342 eps: 0.27 GLOBAL Precision: 0.5628 Recall:0.7875 F1:0.6565 F2:0.7293 eps: 0.28 GLOBAL Precision: 0.5659 Recall:0.7904 F1:0.6596 F2:0.7323 eps: 0.29 GLOBAL Precision: 0.5526 Recall:0.7734 F1:0.6446 F2:0.7162 /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.data s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.5519 Recall:0.7989 F1:0.6528 F2:0.7333 eps: 0.02 GLOBAL Precision: 0.5516 Recall:0.7875 F1:0.6488 F2:0.7255 eps: 0.03 GLOBAL Precision: 0.5648 Recall:0.7904 F1:0.6588 F2:0.7319 eps: 0.04 GLOBAL Precision: 0.5726 Recall:0.7819 F1:0.6611 F2:0.7286 eps: 0.05 GLOBAL Precision: 0.5649 Recall:0.7762 F1:0.6539 F2:0.7222 eps: 0.06 GLOBAL Precision: 0.5821 Recall:0.7932 F1:0.6714 F2:0.7396 eps: 0.07 GLOBAL Precision: 0.5809 Recall:0.7932 F1:0.6706 F2:0.7392 eps: 0.08 GLOBAL Precision: 0.5782 Recall:0.7960 F1:0.6698 F2:0.7402 eps: 0.09 GLOBAL Precision: 0.5782 Recall:0.7960 F1:0.6698 F2:0.7402 eps: 0.1 GLOBAL Precision: 0.5782 Recall:0.7960 F1:0.6698 F2:0.7402 eps: 0.11 GLOBAL Precision: 0.5863 Recall:0.7989 F1:0.6763 F2:0.7449 eps: 0.12 GLOBAL Precision: 0.5996 Recall:0.8187 F1:0.6922 F2:0.7629 eps: 0.13 GLOBAL Precision: 0.5871 Recall:0.8017 F1:0.6778 F2:0.7471 eps: 0.14 GLOBAL Precision: 0.5988 Recall:0.8159 F1:0.6907 F2:0.7607 eps: 0.15 GLOBAL Precision: 0.5909 Recall:0.8102 F1:0.6834 F2:0.7542 eps: 0.16 GLOBAL Precision: 0.5806 Recall:0.7960 F1:0.6714 F2:0.7410 eps: 0.17 GLOBAL Precision: 0.5856 Recall:0.8045 F1:0.6778 F2:0.7485 eps: 0.18 GLOBAL Precision: 0.5864 Recall:0.8074 F1:0.6794 F2:0.7508 eps: 0.19 GLOBAL Precision: 0.5873 Recall:0.8102 F1:0.6810 F2:0.7530 eps: 0.2 GLOBAL Precision: 0.5856 Recall:0.8045 F1:0.6778 F2:0.7485 eps: 0.21 GLOBAL Precision: 0.5828 Recall:0.8074 F1:0.6770 F2:0.7496 eps: 0.22 GLOBAL Precision: 0.5828 Recall:0.8074 F1:0.6770 F2:0.7496 eps: 0.23 GLOBAL Precision: 0.5799 Recall:0.8017 F1:0.6730 F2:0.7447 eps: 0.24 GLOBAL Precision: 0.5828 Recall:0.8074 F1:0.6770 F2:0.7496 eps: 0.25 GLOBAL Precision: 0.5808 Recall:0.8045 F1:0.6746 F2:0.7470 eps: 0.26 GLOBAL Precision: 0.5746 Recall:0.7960 F1:0.6674 F2:0.7390 eps: 0.27 GLOBAL Precision: 0.5767 Recall:0.7989 F1:0.6699 F2:0.7417 eps: 0.28 GLOBAL Precision: 0.5849 Recall:0.8102 F1:0.6794 F2:0.7522 eps: 0.29 GLOBAL Precision: 0.5776 Recall:0.8017 F1:0.6714 F2:0.7440 0.8 time 0.2 string /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.datasq3 s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.5784 Recall:0.8045 F1:0.6730 F2:0.7462 eps: 0.02 GLOBAL Precision: 0.5784 Recall:0.8045 F1:0.6730 F2:0.7462 eps: 0.03 GLOBAL Precision: 0.5784 Recall:0.8045 F1:0.6730 F2:0.7462 eps: 0.04 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.05 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.06 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.07 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.08 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.09 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.1 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.11 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.12 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.13 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.14 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.15 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.16 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.17 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.18 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.19 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.2 GLOBAL Precision: 0.5769 Recall:0.8074 F1:0.6730 F2:0.7477 eps: 0.21 GLOBAL Precision: 0.5769 Recall:0.8074 F1:0.6730 F2:0.7477 eps: 0.22 GLOBAL Precision: 0.5761 Recall:0.8045 F1:0.6714 F2:0.7454 eps: 0.23 GLOBAL Precision: 0.5761 Recall:0.8045 F1:0.6714 F2:0.7454 eps: 0.24 GLOBAL Precision: 0.5749 Recall:0.8045 F1:0.6706 F2:0.7450 eps: 0.25 GLOBAL Precision: 0.5749 Recall:0.8045 F1:0.6706 F2:0.7450 eps: 0.26 GLOBAL Precision: 0.5706 Recall:0.8017 F1:0.6667 F2:0.7416 eps: 0.27 GLOBAL Precision: 0.5726 Recall:0.8045 F1:0.6690 F2:0.7442 eps: 0.28 GLOBAL Precision: 0.5706 Recall:0.8017 F1:0.6667 F2:0.7416 eps: 0.29 GLOBAL Precision: 0.5737 Recall:0.8045 F1:0.6698 F2:0.7446 0.9 time 0.1 string "separate True", "reclustering True" old label /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.data_w0.9_ s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.5784 Recall:0.8045 F1:0.6730 F2:0.7462 eps: 0.02 GLOBAL Precision: 0.5784 Recall:0.8045 F1:0.6730 F2:0.7462 eps: 0.03 GLOBAL Precision: 0.5784 Recall:0.8045 F1:0.6730 F2:0.7462 eps: 0.04 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.05 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.06 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.07 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.08 GLOBAL Precision: 0.5804 Recall:0.8074 F1:0.6753 F2:0.7488 eps: 0.09 GLOBAL Precision: 0.5813 Recall:0.8102 F1:0.6769 F2:0.7511 eps: 0.1 GLOBAL Precision: 0.5813 Recall:0.8102 F1:0.6769 F2:0.7511 eps: 0.11 GLOBAL Precision: 0.5813 Recall:0.8102 F1:0.6769 F2:0.7511 eps: 0.12 GLOBAL Precision: 0.5781 Recall:0.8074 F1:0.6738 F2:0.7481 eps: 0.13 GLOBAL Precision: 0.5749 Recall:0.8045 F1:0.6706 F2:0.7450 eps: 0.14 GLOBAL Precision: 0.5703 Recall:0.8045 F1:0.6675 F2:0.7434 eps: 0.15 GLOBAL Precision: 0.5723 Recall:0.8074 F1:0.6698 F2:0.7461 eps: 0.16 GLOBAL Precision: 0.5703 Recall:0.8045 F1:0.6675 F2:0.7434 eps: 0.17 GLOBAL Precision: 0.5691 Recall:0.8045 F1:0.6666 F2:0.7430 eps: 0.18 GLOBAL Precision: 0.5655 Recall:0.8074 F1:0.6651 F2:0.7438 eps: 0.19 GLOBAL Precision: 0.5655 Recall:0.8074 F1:0.6651 F2:0.7438 eps: 0.2 GLOBAL Precision: 0.5553 Recall:0.7960 F1:0.6542 F2:0.7325 eps: 0.21 GLOBAL Precision: 0.5602 Recall:0.8045 F1:0.6605 F2:0.7400 eps: 0.22 GLOBAL Precision: 0.5632 Recall:0.8074 F1:0.6635 F2:0.7430 eps: 0.23 GLOBAL Precision: 0.5582 Recall:0.8017 F1:0.6581 F2:0.7374 eps: 0.24 GLOBAL Precision: 0.5615 Recall:0.8017 F1:0.6604 F2:0.7385 eps: 0.25 GLOBAL Precision: 0.5538 Recall:0.8017 F1:0.6551 F2:0.7358 eps: 0.26 GLOBAL Precision: 0.5599 Recall:0.8074 F1:0.6612 F2:0.7418 eps: 0.27 GLOBAL Precision: 0.5519 Recall:0.7989 F1:0.6528 F2:0.7333 eps: 0.28 GLOBAL Precision: 0.5556 Recall:0.7932 F1:0.6535 F2:0.7307 eps: 0.29 GLOBAL Precision: 0.5600 Recall:0.7932 F1:0.6565 F2:0.7322 0.9 time 0.1 string "separate True", "reclustering True" with updated labels /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.data_w0.9_ s1_c.v2.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.6578 Recall:0.8157 F1:0.7283 F2:0.7783 eps: 0.02 GLOBAL Precision: 0.6578 Recall:0.8157 F1:0.7283 F2:0.7783 eps: 0.03 GLOBAL Precision: 0.6578 Recall:0.8157 F1:0.7283 F2:0.7783 eps: 0.04 GLOBAL Precision: 0.6599 Recall:0.8182 F1:0.7306 F2:0.7807 eps: 0.05 GLOBAL Precision: 0.6599 Recall:0.8182 F1:0.7306 F2:0.7807 eps: 0.06 GLOBAL Precision: 0.6599 Recall:0.8182 F1:0.7306 F2:0.7807 eps: 0.07 GLOBAL Precision: 0.6599 Recall:0.8182 F1:0.7306 F2:0.7807 eps: 0.08 GLOBAL Precision: 0.6599 Recall:0.8182 F1:0.7306 F2:0.7807 eps: 0.09 GLOBAL Precision: 0.6585 Recall:0.8182 F1:0.7297 F2:0.7803 eps: 0.1 GLOBAL Precision: 0.6606 Recall:0.8207 F1:0.7320 F2:0.7828 eps: 0.11 GLOBAL Precision: 0.6606 Recall:0.8207 F1:0.7320 F2:0.7828 eps: 0.12 GLOBAL Precision: 0.6552 Recall:0.8157 F1:0.7267 F2:0.7776 eps: 0.13 GLOBAL Precision: 0.6518 Recall:0.8131 F1:0.7236 F2:0.7748 eps: 0.14 GLOBAL Precision: 0.6466 Recall:0.8131 F1:0.7204 F2:0.7733 eps: 0.15 GLOBAL Precision: 0.6506 Recall:0.8182 F1:0.7248 F2:0.7781 eps: 0.16 GLOBAL Precision: 0.6486 Recall:0.8157 F1:0.7226 F2:0.7757 eps: 0.17 GLOBAL Precision: 0.6453 Recall:0.8131 F1:0.7195 F2:0.7729 eps: 0.18 GLOBAL Precision: 0.6389 Recall:0.8131 F1:0.7156 F2:0.7711 eps: 0.19 GLOBAL Precision: 0.6409 Recall:0.8157 F1:0.7178 F2:0.7735 eps: 0.2 GLOBAL Precision: 0.6364 Recall:0.8131 F1:0.7140 F2:0.7703 eps: 0.21 GLOBAL Precision: 0.6371 Recall:0.8157 F1:0.7154 F2:0.7724 eps: 0.22 GLOBAL Precision: 0.6383 Recall:0.8157 F1:0.7162 F2:0.7727 eps: 0.23 GLOBAL Precision: 0.6331 Recall:0.8106 F1:0.7109 F2:0.7676 eps: 0.24 GLOBAL Precision: 0.6349 Recall:0.8081 F1:0.7111 F2:0.7663 eps: 0.25 GLOBAL Precision: 0.6262 Recall:0.8081 F1:0.7056 F2:0.7637 eps: 0.26 GLOBAL Precision: 0.6346 Recall:0.8157 F1:0.7138 F2:0.7717 eps: 0.27 GLOBAL Precision: 0.6262 Recall:0.8081 F1:0.7056 F2:0.7637 eps: 0.28 GLOBAL Precision: 0.6250 Recall:0.7955 F1:0.7000 F2:0.7543 eps: 0.29 GLOBAL Precision: 0.6300 Recall:0.7955 F1:0.7031 F2:0.7558 0.9 time 0.1 string "separate True", "reclustering True", "merging True" with updated labels /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py data/s1_c.data.w0.9 s1_c.v2.truth.json 10 | grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.6524 Recall:0.8106 F1:0.7229 F2:0.7731 eps: 0.02 GLOBAL Precision: 0.6484 Recall:0.8056 F1:0.7185 F2:0.7683 eps: 0.03 GLOBAL Precision: 0.6504 Recall:0.8081 F1:0.7207 F2:0.7707 eps: 0.04 GLOBAL Precision: 0.6504 Recall:0.8081 F1:0.7207 F2:0.7707 eps: 0.05 GLOBAL Precision: 0.6517 Recall:0.8081 F1:0.7215 F2:0.7711 eps: 0.06 GLOBAL Precision: 0.6456 Recall:0.8005 F1:0.7148 F2:0.7638 eps: 0.07 GLOBAL Precision: 0.6469 Recall:0.8005 F1:0.7155 F2:0.7642 eps: 0.08 GLOBAL Precision: 0.6463 Recall:0.8030 F1:0.7162 F2:0.7659 eps: 0.09 GLOBAL Precision: 0.6437 Recall:0.8030 F1:0.7146 F2:0.7651 eps: 0.1 GLOBAL Precision: 0.6452 Recall:0.8081 F1:0.7175 F2:0.7693 eps: 0.11 GLOBAL Precision: 0.6387 Recall:0.8081 F1:0.7135 F2:0.7674 eps: 0.12 GLOBAL Precision: 0.6351 Recall:0.8131 F1:0.7132 F2:0.7699 eps: 0.13 GLOBAL Precision: 0.6294 Recall:0.8106 F1:0.7086 F2:0.7665 eps: 0.14 GLOBAL Precision: 0.6243 Recall:0.8056 F1:0.7035 F2:0.7614 eps: 0.15 GLOBAL Precision: 0.6250 Recall:0.8081 F1:0.7049 F2:0.7634 eps: 0.16 GLOBAL Precision: 0.6255 Recall:0.8056 F1:0.7042 F2:0.7617 eps: 0.17 GLOBAL Precision: 0.6137 Recall:0.7904 F1:0.6909 F2:0.7474 eps: 0.18 GLOBAL Precision: 0.6152 Recall:0.7955 F1:0.6938 F2:0.7515 eps: 0.19 GLOBAL Precision: 0.6275 Recall:0.8081 F1:0.7064 F2:0.7641 eps: 0.2 GLOBAL Precision: 0.6314 Recall:0.8131 F1:0.7108 F2:0.7688 eps: 0.21 GLOBAL Precision: 0.6319 Recall:0.8106 F1:0.7102 F2:0.7672 eps: 0.22 GLOBAL Precision: 0.6304 Recall:0.8056 F1:0.7073 F2:0.7632 eps: 0.23 GLOBAL Precision: 0.6358 Recall:0.8157 F1:0.7146 F2:0.7720 eps: 0.24 GLOBAL Precision: 0.6365 Recall:0.8182 F1:0.7160 F2:0.7740 eps: 0.25 GLOBAL Precision: 0.6292 Recall:0.8056 F1:0.7066 F2:0.7628 eps: 0.26 GLOBAL Precision: 0.6416 Recall:0.8182 F1:0.7192 F2:0.7755 eps: 0.27 GLOBAL Precision: 0.6402 Recall:0.8131 F1:0.7164 F2:0.7714 eps: 0.28 GLOBAL Precision: 0.6297 Recall:0.8030 F1:0.7059 F2:0.7611 eps: 0.29 GLOBAL Precision: 0.6342 Recall:0.8056 F1:0.7097 F2:0.7643 0.9 time 0.1 string "separate False", "reclustering True" /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.data_w0.9_ s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.5601 Recall:0.7790 F1:0.6517 F2:0.7225 eps: 0.02 GLOBAL Precision: 0.5601 Recall:0.7790 F1:0.6517 F2:0.7225 eps: 0.03 GLOBAL Precision: 0.5601 Recall:0.7790 F1:0.6517 F2:0.7225 eps: 0.04 GLOBAL Precision: 0.5621 Recall:0.7819 F1:0.6540 F2:0.7252 eps: 0.05 GLOBAL Precision: 0.5629 Recall:0.7734 F1:0.6516 F2:0.7196 eps: 0.06 GLOBAL Precision: 0.5629 Recall:0.7734 F1:0.6516 F2:0.7196 eps: 0.07 GLOBAL Precision: 0.5655 Recall:0.7705 F1:0.6523 F2:0.7184 eps: 0.08 GLOBAL Precision: 0.5655 Recall:0.7705 F1:0.6523 F2:0.7184 eps: 0.09 GLOBAL Precision: 0.5605 Recall:0.7479 F1:0.6408 F2:0.7010 eps: 0.1 GLOBAL Precision: 0.5622 Recall:0.7422 F1:0.6398 F2:0.6975 eps: 0.11 GLOBAL Precision: 0.5572 Recall:0.7309 F1:0.6323 F2:0.6880 eps: 0.12 GLOBAL Precision: 0.5522 Recall:0.7195 F1:0.6248 F2:0.6784 eps: 0.13 GLOBAL Precision: 0.5493 Recall:0.6941 F1:0.6133 F2:0.6593 eps: 0.14 GLOBAL Precision: 0.5573 Recall:0.6884 F1:0.6160 F2:0.6575 eps: 0.15 GLOBAL Precision: 0.5659 Recall:0.6686 F1:0.6130 F2:0.6452 eps: 0.16 GLOBAL Precision: 0.5756 Recall:0.6686 F1:0.6186 F2:0.6477 eps: 0.17 GLOBAL Precision: 0.5570 Recall:0.6232 F1:0.5882 F2:0.6087 eps: 0.18 GLOBAL Precision: 0.5718 Recall:0.6091 F1:0.5899 F2:0.6013 eps: 0.19 GLOBAL Precision: 0.5699 Recall:0.6006 F1:0.5848 F2:0.5942 eps: 0.2 GLOBAL Precision: 0.5676 Recall:0.5949 F1:0.5809 F2:0.5892 eps: 0.21 GLOBAL Precision: 0.5691 Recall:0.5949 F1:0.5817 F2:0.5896 eps: 0.22 GLOBAL Precision: 0.5933 Recall:0.6034 F1:0.5983 F2:0.6014 eps: 0.23 GLOBAL Precision: 0.5927 Recall:0.5977 F1:0.5952 F2:0.5967 eps: 0.24 GLOBAL Precision: 0.5868 Recall:0.6034 F1:0.5950 F2:0.6000 eps: 0.25 GLOBAL Precision: 0.5586 Recall:0.5807 F1:0.5694 F2:0.5761 eps: 0.26 GLOBAL Precision: 0.5757 Recall:0.6034 F1:0.5892 F2:0.5976 eps: 0.27 GLOBAL Precision: 0.5842 Recall:0.6289 F1:0.6057 F2:0.6194 eps: 0.28 GLOBAL Precision: 0.5942 Recall:0.6346 F1:0.6137 F2:0.6261 eps: 0.29 GLOBAL Precision: 0.6130 Recall:0.6686 F1:0.6396 F2:0.6567 0.9 time 0.1 string "separate True", "reclustering False" /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.data_w0.9_ s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.9600 Recall:0.0680 F1:0.1270 F2:0.0835 eps: 0.02 GLOBAL Precision: 0.9231 Recall:0.0680 F1:0.1267 F2:0.0835 eps: 0.03 GLOBAL Precision: 0.9231 Recall:0.0680 F1:0.1267 F2:0.0835 eps: 0.04 GLOBAL Precision: 0.9259 Recall:0.0708 F1:0.1315 F2:0.0868 eps: 0.05 GLOBAL Precision: 0.9310 Recall:0.0765 F1:0.1414 F2:0.0937 eps: 0.06 GLOBAL Precision: 0.9310 Recall:0.0765 F1:0.1414 F2:0.0937 eps: 0.07 GLOBAL Precision: 0.8485 Recall:0.0793 F1:0.1450 F2:0.0969 eps: 0.08 GLOBAL Precision: 0.8485 Recall:0.0793 F1:0.1450 F2:0.0969 eps: 0.09 GLOBAL Precision: 0.8049 Recall:0.0935 F1:0.1675 F2:0.1136 eps: 0.1 GLOBAL Precision: 0.8000 Recall:0.1020 F1:0.1809 F2:0.1236 eps: 0.11 GLOBAL Precision: 0.7959 Recall:0.1105 F1:0.1941 F2:0.1335 eps: 0.12 GLOBAL Precision: 0.7818 Recall:0.1218 F1:0.2108 F2:0.1465 eps: 0.13 GLOBAL Precision: 0.7910 Recall:0.1501 F1:0.2523 F2:0.1791 eps: 0.14 GLOBAL Precision: 0.7865 Recall:0.1983 F1:0.3167 F2:0.2332 eps: 0.15 GLOBAL Precision: 0.7736 Recall:0.2323 F1:0.3573 F2:0.2701 eps: 0.16 GLOBAL Precision: 0.7724 Recall:0.2691 F1:0.3991 F2:0.3094 eps: 0.17 GLOBAL Precision: 0.7436 Recall:0.3286 F1:0.4558 F2:0.3699 eps: 0.18 GLOBAL Precision: 0.6891 Recall:0.3768 F1:0.4872 F2:0.4144 eps: 0.19 GLOBAL Precision: 0.6812 Recall:0.3994 F1:0.5036 F2:0.4354 eps: 0.2 GLOBAL Precision: 0.6441 Recall:0.4306 F1:0.5161 F2:0.4612 eps: 0.21 GLOBAL Precision: 0.6178 Recall:0.4533 F1:0.5229 F2:0.4788 eps: 0.22 GLOBAL Precision: 0.6255 Recall:0.4873 F1:0.5478 F2:0.5098 eps: 0.23 GLOBAL Precision: 0.6107 Recall:0.5156 F1:0.5591 F2:0.5322 eps: 0.24 GLOBAL Precision: 0.5981 Recall:0.5354 F1:0.5650 F2:0.5469 eps: 0.25 GLOBAL Precision: 0.5930 Recall:0.5779 F1:0.5854 F2:0.5809 eps: 0.26 GLOBAL Precision: 0.6056 Recall:0.6091 F1:0.6073 F2:0.6084 eps: 0.27 GLOBAL Precision: 0.5989 Recall:0.6346 F1:0.6162 F2:0.6271 eps: 0.28 GLOBAL Precision: 0.5954 Recall:0.6629 F1:0.6273 F2:0.6482 eps: 0.29 GLOBAL Precision: 0.5951 Recall:0.6827 F1:0.6359 F2:0.6632 0.9 time 0.1 string "separate False", "reclustering False" /Applications/MAMP/htdocs/CrowdsourcingPhotoshop/Tools > python compute-accuracy.py s1_c.data_w0.9_ s1_c.truth.json 10| grep 'GLOBAL' eps: 0.01 GLOBAL Precision: 0.9600 Recall:0.0680 F1:0.1270 F2:0.0835 eps: 0.02 GLOBAL Precision: 0.9231 Recall:0.0680 F1:0.1267 F2:0.0835 eps: 0.03 GLOBAL Precision: 0.9231 Recall:0.0680 F1:0.1267 F2:0.0835 eps: 0.04 GLOBAL Precision: 0.9259 Recall:0.0708 F1:0.1315 F2:0.0868 eps: 0.05 GLOBAL Precision: 0.9286 Recall:0.0737 F1:0.1366 F2:0.0903 eps: 0.06 GLOBAL Precision: 0.9286 Recall:0.0737 F1:0.1366 F2:0.0903 eps: 0.07 GLOBAL Precision: 0.8667 Recall:0.0737 F1:0.1358 F2:0.0902 eps: 0.08 GLOBAL Precision: 0.8667 Recall:0.0737 F1:0.1358 F2:0.0902 eps: 0.09 GLOBAL Precision: 0.8529 Recall:0.0822 F1:0.1499 F2:0.1003 eps: 0.1 GLOBAL Precision: 0.8611 Recall:0.0878 F1:0.1594 F2:0.1070 eps: 0.11 GLOBAL Precision: 0.8684 Recall:0.0935 F1:0.1688 F2:0.1138 eps: 0.12 GLOBAL Precision: 0.8571 Recall:0.1020 F1:0.1823 F2:0.1238 eps: 0.13 GLOBAL Precision: 0.8367 Recall:0.1161 F1:0.2039 F2:0.1403 eps: 0.14 GLOBAL Precision: 0.8387 Recall:0.1473 F1:0.2506 F2:0.1764 eps: 0.15 GLOBAL Precision: 0.8451 Recall:0.1700 F1:0.2831 F2:0.2023 eps: 0.16 GLOBAL Precision: 0.8519 Recall:0.1955 F1:0.3180 F2:0.2311 eps: 0.17 GLOBAL Precision: 0.8039 Recall:0.2323 F1:0.3604 F2:0.2708 eps: 0.18 GLOBAL Precision: 0.7619 Recall:0.2720 F1:0.4009 F2:0.3121 eps: 0.19 GLOBAL Precision: 0.7407 Recall:0.2833 F1:0.4098 F2:0.3232 eps: 0.2 GLOBAL Precision: 0.7171 Recall:0.3088 F1:0.4317 F2:0.3485 eps: 0.21 GLOBAL Precision: 0.7083 Recall:0.3371 F1:0.4568 F2:0.3766 eps: 0.22 GLOBAL Precision: 0.7143 Recall:0.3683 F1:0.4860 F2:0.4078 eps: 0.23 GLOBAL Precision: 0.7092 Recall:0.3938 F1:0.5064 F2:0.4322 eps: 0.24 GLOBAL Precision: 0.6776 Recall:0.4108 F1:0.5115 F2:0.4459 eps: 0.25 GLOBAL Precision: 0.6638 Recall:0.4363 F1:0.5265 F2:0.4684 eps: 0.26 GLOBAL Precision: 0.6557 Recall:0.4533 F1:0.5360 F2:0.4831 eps: 0.27 GLOBAL Precision: 0.6500 Recall:0.4788 F1:0.5514 F2:0.5054 eps: 0.28 GLOBAL Precision: 0.6403 Recall:0.5042 F1:0.5642 F2:0.5266 eps: 0.29 GLOBAL Precision: 0.6609 Recall:0.5411 F1:0.5950 F2:0.5615