Starting cxg2 and cc (6000, 8120) 6000 {'C': 0.01, 'loss': 'squared_hinge'} STARTING UNMASKING ROUND 1 por cc cxg2 1 precision recall f1-score support ao 0.99 0.99 0.99 2709 br 1.00 1.00 1.00 5000 cv 0.98 0.97 0.98 2420 pt 0.99 0.99 0.99 5000 avg / total 0.99 0.99 0.99 15129 Reducing feature vectors. (70517, 8120) (15129, 8120) (70517, 8116) (15129, 8116) STARTING UNMASKING ROUND 2 por cc cxg2 2 precision recall f1-score support ao 0.99 0.98 0.99 2709 br 1.00 1.00 1.00 5000 cv 0.97 0.97 0.97 2420 pt 0.99 0.99 0.99 5000 avg / total 0.99 0.99 0.99 15129 Reducing feature vectors. (70517, 8116) (15129, 8116) (70517, 8110) (15129, 8110) STARTING UNMASKING ROUND 3 por cc cxg2 3 precision recall f1-score support ao 0.99 0.98 0.99 2709 br 1.00 1.00 1.00 5000 cv 0.97 0.97 0.97 2420 pt 0.99 0.99 0.99 5000 avg / total 0.99 0.99 0.99 15129 Reducing feature vectors. (70517, 8110) (15129, 8110) (70517, 8104) (15129, 8104) STARTING UNMASKING ROUND 4 por cc cxg2 4 precision recall f1-score support ao 0.98 0.99 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.97 0.96 0.96 2420 pt 0.99 0.99 0.99 5000 avg / total 0.99 0.99 0.99 15129 Reducing feature vectors. (70517, 8104) (15129, 8104) (70517, 8097) (15129, 8097) STARTING UNMASKING ROUND 5 por cc cxg2 5 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.96 0.96 2420 pt 0.99 0.99 0.99 5000 avg / total 0.99 0.99 0.99 15129 Reducing feature vectors. (70517, 8097) (15129, 8097) (70517, 8089) (15129, 8089) STARTING UNMASKING ROUND 6 por cc cxg2 6 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.95 0.96 2420 pt 0.99 0.99 0.99 5000 avg / total 0.99 0.99 0.99 15129 Reducing feature vectors. (70517, 8089) (15129, 8089) (70517, 8082) (15129, 8082) STARTING UNMASKING ROUND 7 por cc cxg2 7 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.95 0.96 2420 pt 0.99 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8082) (15129, 8082) (70517, 8075) (15129, 8075) STARTING UNMASKING ROUND 8 por cc cxg2 8 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.95 0.96 2420 pt 0.99 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8075) (15129, 8075) (70517, 8067) (15129, 8067) STARTING UNMASKING ROUND 9 por cc cxg2 9 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.95 0.95 2420 pt 0.99 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8067) (15129, 8067) (70517, 8059) (15129, 8059) STARTING UNMASKING ROUND 10 por cc cxg2 10 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.99 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8059) (15129, 8059) (70517, 8051) (15129, 8051) STARTING UNMASKING ROUND 11 por cc cxg2 11 precision recall f1-score support ao 0.98 0.98 0.98 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8051) (15129, 8051) (70517, 8043) (15129, 8043) STARTING UNMASKING ROUND 12 por cc cxg2 12 precision recall f1-score support ao 0.97 0.98 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8043) (15129, 8043) (70517, 8035) (15129, 8035) STARTING UNMASKING ROUND 13 por cc cxg2 13 precision recall f1-score support ao 0.97 0.98 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8035) (15129, 8035) (70517, 8027) (15129, 8027) STARTING UNMASKING ROUND 14 por cc cxg2 14 precision recall f1-score support ao 0.97 0.98 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8027) (15129, 8027) (70517, 8019) (15129, 8019) STARTING UNMASKING ROUND 15 por cc cxg2 15 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8019) (15129, 8019) (70517, 8011) (15129, 8011) STARTING UNMASKING ROUND 16 por cc cxg2 16 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.96 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8011) (15129, 8011) (70517, 8003) (15129, 8003) STARTING UNMASKING ROUND 17 por cc cxg2 17 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 1.00 5000 cv 0.95 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 8003) (15129, 8003) (70517, 7995) (15129, 7995) STARTING UNMASKING ROUND 18 por cc cxg2 18 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.95 0.94 0.95 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7995) (15129, 7995) (70517, 7987) (15129, 7987) STARTING UNMASKING ROUND 19 por cc cxg2 19 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.95 0.94 0.94 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7987) (15129, 7987) (70517, 7979) (15129, 7979) STARTING UNMASKING ROUND 20 por cc cxg2 20 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.95 0.94 0.94 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7979) (15129, 7979) (70517, 7971) (15129, 7971) STARTING UNMASKING ROUND 21 por cc cxg2 21 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7971) (15129, 7971) (70517, 7963) (15129, 7963) STARTING UNMASKING ROUND 22 por cc cxg2 22 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.99 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7963) (15129, 7963) (70517, 7956) (15129, 7956) STARTING UNMASKING ROUND 23 por cc cxg2 23 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7956) (15129, 7956) (70517, 7949) (15129, 7949) STARTING UNMASKING ROUND 24 por cc cxg2 24 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7949) (15129, 7949) (70517, 7941) (15129, 7941) STARTING UNMASKING ROUND 25 por cc cxg2 25 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7941) (15129, 7941) (70517, 7933) (15129, 7933) STARTING UNMASKING ROUND 26 por cc cxg2 26 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7933) (15129, 7933) (70517, 7926) (15129, 7926) STARTING UNMASKING ROUND 27 por cc cxg2 27 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 1.00 1.00 1.00 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7926) (15129, 7926) (70517, 7919) (15129, 7919) STARTING UNMASKING ROUND 28 por cc cxg2 28 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7919) (15129, 7919) (70517, 7911) (15129, 7911) STARTING UNMASKING ROUND 29 por cc cxg2 29 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7911) (15129, 7911) (70517, 7903) (15129, 7903) STARTING UNMASKING ROUND 30 por cc cxg2 30 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7903) (15129, 7903) (70517, 7895) (15129, 7895) STARTING UNMASKING ROUND 31 por cc cxg2 31 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7895) (15129, 7895) (70517, 7887) (15129, 7887) STARTING UNMASKING ROUND 32 por cc cxg2 32 precision recall f1-score support ao 0.97 0.96 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7887) (15129, 7887) (70517, 7879) (15129, 7879) STARTING UNMASKING ROUND 33 por cc cxg2 33 precision recall f1-score support ao 0.97 0.96 0.97 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7879) (15129, 7879) (70517, 7872) (15129, 7872) STARTING UNMASKING ROUND 34 por cc cxg2 34 precision recall f1-score support ao 0.97 0.96 0.96 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7872) (15129, 7872) (70517, 7864) (15129, 7864) STARTING UNMASKING ROUND 35 por cc cxg2 35 precision recall f1-score support ao 0.97 0.96 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7864) (15129, 7864) (70517, 7856) (15129, 7856) STARTING UNMASKING ROUND 36 por cc cxg2 36 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.93 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7856) (15129, 7856) (70517, 7848) (15129, 7848) STARTING UNMASKING ROUND 37 por cc cxg2 37 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.92 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7848) (15129, 7848) (70517, 7840) (15129, 7840) STARTING UNMASKING ROUND 38 por cc cxg2 38 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.92 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7840) (15129, 7840) (70517, 7832) (15129, 7832) STARTING UNMASKING ROUND 39 por cc cxg2 39 precision recall f1-score support ao 0.97 0.97 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.92 0.94 2420 pt 0.98 0.99 0.98 5000 avg / total 0.98 0.98 0.98 15129 Reducing feature vectors. (70517, 7832) (15129, 7832) (70517, 7824) (15129, 7824) STARTING UNMASKING ROUND 40 por cc cxg2 40 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7824) (15129, 7824) (70517, 7816) (15129, 7816) STARTING UNMASKING ROUND 41 por cc cxg2 41 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 1.00 0.99 5000 cv 0.95 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7816) (15129, 7816) (70517, 7808) (15129, 7808) STARTING UNMASKING ROUND 42 por cc cxg2 42 precision recall f1-score support ao 0.97 0.96 0.97 2709 br 0.99 0.99 0.99 5000 cv 0.95 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7808) (15129, 7808) (70517, 7800) (15129, 7800) STARTING UNMASKING ROUND 43 por cc cxg2 43 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7800) (15129, 7800) (70517, 7792) (15129, 7792) STARTING UNMASKING ROUND 44 por cc cxg2 44 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7792) (15129, 7792) (70517, 7785) (15129, 7785) STARTING UNMASKING ROUND 45 por cc cxg2 45 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7785) (15129, 7785) (70517, 7777) (15129, 7777) STARTING UNMASKING ROUND 46 por cc cxg2 46 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.92 0.93 2420 pt 0.98 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7777) (15129, 7777) (70517, 7769) (15129, 7769) STARTING UNMASKING ROUND 47 por cc cxg2 47 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.91 0.93 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7769) (15129, 7769) (70517, 7761) (15129, 7761) STARTING UNMASKING ROUND 48 por cc cxg2 48 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.91 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7761) (15129, 7761) (70517, 7753) (15129, 7753) STARTING UNMASKING ROUND 49 por cc cxg2 49 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.91 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7753) (15129, 7753) (70517, 7745) (15129, 7745) STARTING UNMASKING ROUND 50 por cc cxg2 50 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.91 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7745) (15129, 7745) (70517, 7737) (15129, 7737) STARTING UNMASKING ROUND 51 por cc cxg2 51 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7737) (15129, 7737) (70517, 7729) (15129, 7729) STARTING UNMASKING ROUND 52 por cc cxg2 52 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7729) (15129, 7729) (70517, 7721) (15129, 7721) STARTING UNMASKING ROUND 53 por cc cxg2 53 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7721) (15129, 7721) (70517, 7713) (15129, 7713) STARTING UNMASKING ROUND 54 por cc cxg2 54 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7713) (15129, 7713) (70517, 7705) (15129, 7705) STARTING UNMASKING ROUND 55 por cc cxg2 55 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7705) (15129, 7705) (70517, 7697) (15129, 7697) STARTING UNMASKING ROUND 56 por cc cxg2 56 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7697) (15129, 7697) (70517, 7690) (15129, 7690) STARTING UNMASKING ROUND 57 por cc cxg2 57 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7690) (15129, 7690) (70517, 7682) (15129, 7682) STARTING UNMASKING ROUND 58 por cc cxg2 58 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7682) (15129, 7682) (70517, 7675) (15129, 7675) STARTING UNMASKING ROUND 59 por cc cxg2 59 precision recall f1-score support ao 0.95 0.96 0.96 2709 br 0.99 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.98 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7675) (15129, 7675) (70517, 7667) (15129, 7667) STARTING UNMASKING ROUND 60 por cc cxg2 60 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7667) (15129, 7667) (70517, 7659) (15129, 7659) STARTING UNMASKING ROUND 61 por cc cxg2 61 precision recall f1-score support ao 0.96 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.90 0.92 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7659) (15129, 7659) (70517, 7651) (15129, 7651) STARTING UNMASKING ROUND 62 por cc cxg2 62 precision recall f1-score support ao 0.95 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.94 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7651) (15129, 7651) (70517, 7643) (15129, 7643) STARTING UNMASKING ROUND 63 por cc cxg2 63 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.99 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7643) (15129, 7643) (70517, 7637) (15129, 7637) STARTING UNMASKING ROUND 64 por cc cxg2 64 precision recall f1-score support ao 0.95 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7637) (15129, 7637) (70517, 7629) (15129, 7629) STARTING UNMASKING ROUND 65 por cc cxg2 65 precision recall f1-score support ao 0.95 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7629) (15129, 7629) (70517, 7621) (15129, 7621) STARTING UNMASKING ROUND 66 por cc cxg2 66 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.90 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7621) (15129, 7621) (70517, 7613) (15129, 7613) STARTING UNMASKING ROUND 67 por cc cxg2 67 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.99 0.99 0.99 5000 cv 0.93 0.90 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7613) (15129, 7613) (70517, 7605) (15129, 7605) STARTING UNMASKING ROUND 68 por cc cxg2 68 precision recall f1-score support ao 0.95 0.96 0.96 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.90 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.97 0.97 0.97 15129 Reducing feature vectors. (70517, 7605) (15129, 7605) (70517, 7597) (15129, 7597) STARTING UNMASKING ROUND 69 por cc cxg2 69 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7597) (15129, 7597) (70517, 7589) (15129, 7589) STARTING UNMASKING ROUND 70 por cc cxg2 70 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7589) (15129, 7589) (70517, 7581) (15129, 7581) STARTING UNMASKING ROUND 71 por cc cxg2 71 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7581) (15129, 7581) (70517, 7573) (15129, 7573) STARTING UNMASKING ROUND 72 por cc cxg2 72 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7573) (15129, 7573) (70517, 7568) (15129, 7568) STARTING UNMASKING ROUND 73 por cc cxg2 73 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7568) (15129, 7568) (70517, 7560) (15129, 7560) STARTING UNMASKING ROUND 74 por cc cxg2 74 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7560) (15129, 7560) (70517, 7552) (15129, 7552) STARTING UNMASKING ROUND 75 por cc cxg2 75 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7552) (15129, 7552) (70517, 7544) (15129, 7544) STARTING UNMASKING ROUND 76 por cc cxg2 76 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7544) (15129, 7544) (70517, 7536) (15129, 7536) STARTING UNMASKING ROUND 77 por cc cxg2 77 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7536) (15129, 7536) (70517, 7528) (15129, 7528) STARTING UNMASKING ROUND 78 por cc cxg2 78 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7528) (15129, 7528) (70517, 7520) (15129, 7520) STARTING UNMASKING ROUND 79 por cc cxg2 79 precision recall f1-score support ao 0.95 0.96 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7520) (15129, 7520) (70517, 7513) (15129, 7513) STARTING UNMASKING ROUND 80 por cc cxg2 80 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7513) (15129, 7513) (70517, 7505) (15129, 7505) STARTING UNMASKING ROUND 81 por cc cxg2 81 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7505) (15129, 7505) (70517, 7497) (15129, 7497) STARTING UNMASKING ROUND 82 por cc cxg2 82 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.89 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7497) (15129, 7497) (70517, 7489) (15129, 7489) STARTING UNMASKING ROUND 83 por cc cxg2 83 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7489) (15129, 7489) (70517, 7481) (15129, 7481) STARTING UNMASKING ROUND 84 por cc cxg2 84 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.88 0.91 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7481) (15129, 7481) (70517, 7473) (15129, 7473) STARTING UNMASKING ROUND 85 por cc cxg2 85 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.90 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7473) (15129, 7473) (70517, 7467) (15129, 7467) STARTING UNMASKING ROUND 86 por cc cxg2 86 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.90 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7467) (15129, 7467) (70517, 7459) (15129, 7459) STARTING UNMASKING ROUND 87 por cc cxg2 87 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.90 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7459) (15129, 7459) (70517, 7451) (15129, 7451) STARTING UNMASKING ROUND 88 por cc cxg2 88 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.90 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7451) (15129, 7451) (70517, 7443) (15129, 7443) STARTING UNMASKING ROUND 89 por cc cxg2 89 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.90 2420 pt 0.97 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7443) (15129, 7443) (70517, 7435) (15129, 7435) STARTING UNMASKING ROUND 90 por cc cxg2 90 precision recall f1-score support ao 0.95 0.95 0.95 2709 br 0.98 0.99 0.99 5000 cv 0.93 0.88 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7435) (15129, 7435) (70517, 7427) (15129, 7427) STARTING UNMASKING ROUND 91 por cc cxg2 91 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7427) (15129, 7427) (70517, 7419) (15129, 7419) STARTING UNMASKING ROUND 92 por cc cxg2 92 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7419) (15129, 7419) (70517, 7411) (15129, 7411) STARTING UNMASKING ROUND 93 por cc cxg2 93 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7411) (15129, 7411) (70517, 7403) (15129, 7403) STARTING UNMASKING ROUND 94 por cc cxg2 94 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7403) (15129, 7403) (70517, 7395) (15129, 7395) STARTING UNMASKING ROUND 95 por cc cxg2 95 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7395) (15129, 7395) (70517, 7387) (15129, 7387) STARTING UNMASKING ROUND 96 por cc cxg2 96 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7387) (15129, 7387) (70517, 7379) (15129, 7379) STARTING UNMASKING ROUND 97 por cc cxg2 97 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7379) (15129, 7379) (70517, 7371) (15129, 7371) STARTING UNMASKING ROUND 98 por cc cxg2 98 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7371) (15129, 7371) (70517, 7363) (15129, 7363) STARTING UNMASKING ROUND 99 por cc cxg2 99 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.98 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7363) (15129, 7363) (70517, 7355) (15129, 7355) STARTING UNMASKING ROUND 100 por cc cxg2 100 precision recall f1-score support ao 0.94 0.95 0.95 2709 br 0.98 0.99 0.98 5000 cv 0.93 0.87 0.90 2420 pt 0.96 0.97 0.97 5000 avg / total 0.96 0.96 0.96 15129 Reducing feature vectors. (70517, 7355) (15129, 7355) (70517, 7348) (15129, 7348)