Starting cxg2 and cc (7000, 27693) 7000 {'C': 0.01, 'loss': 'hinge'} STARTING UNMASKING ROUND 1 ara cc cxg2 1 precision recall f1-score support ae 1.00 1.00 1.00 5000 ps 1.00 1.00 1.00 5000 qa 1.00 0.99 1.00 1868 sy 1.00 0.99 0.99 2817 avg / total 1.00 1.00 1.00 14685 Reducing feature vectors. (68742, 27693) (14685, 27693) (68742, 27688) (14685, 27688) STARTING UNMASKING ROUND 2 ara cc cxg2 2 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 1.00 5000 qa 1.00 0.99 1.00 1868 sy 1.00 0.99 0.99 2817 avg / total 1.00 1.00 1.00 14685 Reducing feature vectors. (68742, 27688) (14685, 27688) (68742, 27682) (14685, 27682) STARTING UNMASKING ROUND 3 ara cc cxg2 3 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 1.00 5000 qa 1.00 0.99 0.99 1868 sy 1.00 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27682) (14685, 27682) (68742, 27674) (14685, 27674) STARTING UNMASKING ROUND 4 ara cc cxg2 4 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 1.00 5000 qa 1.00 0.99 0.99 1868 sy 1.00 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27674) (14685, 27674) (68742, 27670) (14685, 27670) STARTING UNMASKING ROUND 5 ara cc cxg2 5 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 1.00 5000 qa 1.00 0.99 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27670) (14685, 27670) (68742, 27664) (14685, 27664) STARTING UNMASKING ROUND 6 ara cc cxg2 6 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 1.00 5000 qa 1.00 0.99 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27664) (14685, 27664) (68742, 27657) (14685, 27657) STARTING UNMASKING ROUND 7 ara cc cxg2 7 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 1.00 0.99 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27657) (14685, 27657) (68742, 27650) (14685, 27650) STARTING UNMASKING ROUND 8 ara cc cxg2 8 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 1.00 0.99 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27650) (14685, 27650) (68742, 27643) (14685, 27643) STARTING UNMASKING ROUND 9 ara cc cxg2 9 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.99 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27643) (14685, 27643) (68742, 27636) (14685, 27636) STARTING UNMASKING ROUND 10 ara cc cxg2 10 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 1.00 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27636) (14685, 27636) (68742, 27629) (14685, 27629) STARTING UNMASKING ROUND 11 ara cc cxg2 11 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27629) (14685, 27629) (68742, 27623) (14685, 27623) STARTING UNMASKING ROUND 12 ara cc cxg2 12 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 1.00 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27623) (14685, 27623) (68742, 27616) (14685, 27616) STARTING UNMASKING ROUND 13 ara cc cxg2 13 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27616) (14685, 27616) (68742, 27609) (14685, 27609) STARTING UNMASKING ROUND 14 ara cc cxg2 14 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27609) (14685, 27609) (68742, 27601) (14685, 27601) STARTING UNMASKING ROUND 15 ara cc cxg2 15 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27601) (14685, 27601) (68742, 27594) (14685, 27594) STARTING UNMASKING ROUND 16 ara cc cxg2 16 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27594) (14685, 27594) (68742, 27586) (14685, 27586) STARTING UNMASKING ROUND 17 ara cc cxg2 17 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.98 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27586) (14685, 27586) (68742, 27578) (14685, 27578) STARTING UNMASKING ROUND 18 ara cc cxg2 18 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27578) (14685, 27578) (68742, 27571) (14685, 27571) STARTING UNMASKING ROUND 19 ara cc cxg2 19 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27571) (14685, 27571) (68742, 27565) (14685, 27565) STARTING UNMASKING ROUND 20 ara cc cxg2 20 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.98 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27565) (14685, 27565) (68742, 27557) (14685, 27557) STARTING UNMASKING ROUND 21 ara cc cxg2 21 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.98 0.99 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27557) (14685, 27557) (68742, 27549) (14685, 27549) STARTING UNMASKING ROUND 22 ara cc cxg2 22 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.99 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27549) (14685, 27549) (68742, 27543) (14685, 27543) STARTING UNMASKING ROUND 23 ara cc cxg2 23 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27543) (14685, 27543) (68742, 27536) (14685, 27536) STARTING UNMASKING ROUND 24 ara cc cxg2 24 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27536) (14685, 27536) (68742, 27528) (14685, 27528) STARTING UNMASKING ROUND 25 ara cc cxg2 25 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27528) (14685, 27528) (68742, 27520) (14685, 27520) STARTING UNMASKING ROUND 26 ara cc cxg2 26 precision recall f1-score support ae 0.99 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27520) (14685, 27520) (68742, 27512) (14685, 27512) STARTING UNMASKING ROUND 27 ara cc cxg2 27 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27512) (14685, 27512) (68742, 27505) (14685, 27505) STARTING UNMASKING ROUND 28 ara cc cxg2 28 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.99 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27505) (14685, 27505) (68742, 27498) (14685, 27498) STARTING UNMASKING ROUND 29 ara cc cxg2 29 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27498) (14685, 27498) (68742, 27490) (14685, 27490) STARTING UNMASKING ROUND 30 ara cc cxg2 30 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27490) (14685, 27490) (68742, 27482) (14685, 27482) STARTING UNMASKING ROUND 31 ara cc cxg2 31 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27482) (14685, 27482) (68742, 27474) (14685, 27474) STARTING UNMASKING ROUND 32 ara cc cxg2 32 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27474) (14685, 27474) (68742, 27467) (14685, 27467) STARTING UNMASKING ROUND 33 ara cc cxg2 33 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27467) (14685, 27467) (68742, 27459) (14685, 27459) STARTING UNMASKING ROUND 34 ara cc cxg2 34 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27459) (14685, 27459) (68742, 27452) (14685, 27452) STARTING UNMASKING ROUND 35 ara cc cxg2 35 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27452) (14685, 27452) (68742, 27444) (14685, 27444) STARTING UNMASKING ROUND 36 ara cc cxg2 36 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27444) (14685, 27444) (68742, 27437) (14685, 27437) STARTING UNMASKING ROUND 37 ara cc cxg2 37 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27437) (14685, 27437) (68742, 27429) (14685, 27429) STARTING UNMASKING ROUND 38 ara cc cxg2 38 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27429) (14685, 27429) (68742, 27421) (14685, 27421) STARTING UNMASKING ROUND 39 ara cc cxg2 39 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27421) (14685, 27421) (68742, 27414) (14685, 27414) STARTING UNMASKING ROUND 40 ara cc cxg2 40 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27414) (14685, 27414) (68742, 27406) (14685, 27406) STARTING UNMASKING ROUND 41 ara cc cxg2 41 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27406) (14685, 27406) (68742, 27398) (14685, 27398) STARTING UNMASKING ROUND 42 ara cc cxg2 42 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27398) (14685, 27398) (68742, 27390) (14685, 27390) STARTING UNMASKING ROUND 43 ara cc cxg2 43 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27390) (14685, 27390) (68742, 27383) (14685, 27383) STARTING UNMASKING ROUND 44 ara cc cxg2 44 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27383) (14685, 27383) (68742, 27375) (14685, 27375) STARTING UNMASKING ROUND 45 ara cc cxg2 45 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27375) (14685, 27375) (68742, 27370) (14685, 27370) STARTING UNMASKING ROUND 46 ara cc cxg2 46 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27370) (14685, 27370) (68742, 27363) (14685, 27363) STARTING UNMASKING ROUND 47 ara cc cxg2 47 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27363) (14685, 27363) (68742, 27356) (14685, 27356) STARTING UNMASKING ROUND 48 ara cc cxg2 48 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27356) (14685, 27356) (68742, 27348) (14685, 27348) STARTING UNMASKING ROUND 49 ara cc cxg2 49 precision recall f1-score support ae 0.98 0.99 0.99 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.97 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27348) (14685, 27348) (68742, 27340) (14685, 27340) STARTING UNMASKING ROUND 50 ara cc cxg2 50 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.97 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27340) (14685, 27340) (68742, 27332) (14685, 27332) STARTING UNMASKING ROUND 51 ara cc cxg2 51 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27332) (14685, 27332) (68742, 27326) (14685, 27326) STARTING UNMASKING ROUND 52 ara cc cxg2 52 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27326) (14685, 27326) (68742, 27320) (14685, 27320) STARTING UNMASKING ROUND 53 ara cc cxg2 53 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27320) (14685, 27320) (68742, 27312) (14685, 27312) STARTING UNMASKING ROUND 54 ara cc cxg2 54 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27312) (14685, 27312) (68742, 27304) (14685, 27304) STARTING UNMASKING ROUND 55 ara cc cxg2 55 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.97 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27304) (14685, 27304) (68742, 27299) (14685, 27299) STARTING UNMASKING ROUND 56 ara cc cxg2 56 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27299) (14685, 27299) (68742, 27291) (14685, 27291) STARTING UNMASKING ROUND 57 ara cc cxg2 57 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27291) (14685, 27291) (68742, 27283) (14685, 27283) STARTING UNMASKING ROUND 58 ara cc cxg2 58 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27283) (14685, 27283) (68742, 27277) (14685, 27277) STARTING UNMASKING ROUND 59 ara cc cxg2 59 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27277) (14685, 27277) (68742, 27271) (14685, 27271) STARTING UNMASKING ROUND 60 ara cc cxg2 60 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27271) (14685, 27271) (68742, 27264) (14685, 27264) STARTING UNMASKING ROUND 61 ara cc cxg2 61 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.99 14685 Reducing feature vectors. (68742, 27264) (14685, 27264) (68742, 27256) (14685, 27256) STARTING UNMASKING ROUND 62 ara cc cxg2 62 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.98 0.98 14685 Reducing feature vectors. (68742, 27256) (14685, 27256) (68742, 27248) (14685, 27248) STARTING UNMASKING ROUND 63 ara cc cxg2 63 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 0.99 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.98 14685 Reducing feature vectors. (68742, 27248) (14685, 27248) (68742, 27240) (14685, 27240) STARTING UNMASKING ROUND 64 ara cc cxg2 64 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27240) (14685, 27240) (68742, 27232) (14685, 27232) STARTING UNMASKING ROUND 65 ara cc cxg2 65 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.99 0.99 0.98 14685 Reducing feature vectors. (68742, 27232) (14685, 27232) (68742, 27224) (14685, 27224) STARTING UNMASKING ROUND 66 ara cc cxg2 66 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.99 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.98 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27224) (14685, 27224) (68742, 27216) (14685, 27216) STARTING UNMASKING ROUND 67 ara cc cxg2 67 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.98 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27216) (14685, 27216) (68742, 27208) (14685, 27208) STARTING UNMASKING ROUND 68 ara cc cxg2 68 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27208) (14685, 27208) (68742, 27200) (14685, 27200) STARTING UNMASKING ROUND 69 ara cc cxg2 69 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27200) (14685, 27200) (68742, 27192) (14685, 27192) STARTING UNMASKING ROUND 70 ara cc cxg2 70 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27192) (14685, 27192) (68742, 27184) (14685, 27184) STARTING UNMASKING ROUND 71 ara cc cxg2 71 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27184) (14685, 27184) (68742, 27177) (14685, 27177) STARTING UNMASKING ROUND 72 ara cc cxg2 72 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27177) (14685, 27177) (68742, 27169) (14685, 27169) STARTING UNMASKING ROUND 73 ara cc cxg2 73 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27169) (14685, 27169) (68742, 27162) (14685, 27162) STARTING UNMASKING ROUND 74 ara cc cxg2 74 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27162) (14685, 27162) (68742, 27154) (14685, 27154) STARTING UNMASKING ROUND 75 ara cc cxg2 75 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27154) (14685, 27154) (68742, 27146) (14685, 27146) STARTING UNMASKING ROUND 76 ara cc cxg2 76 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27146) (14685, 27146) (68742, 27138) (14685, 27138) STARTING UNMASKING ROUND 77 ara cc cxg2 77 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27138) (14685, 27138) (68742, 27130) (14685, 27130) STARTING UNMASKING ROUND 78 ara cc cxg2 78 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27130) (14685, 27130) (68742, 27122) (14685, 27122) STARTING UNMASKING ROUND 79 ara cc cxg2 79 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27122) (14685, 27122) (68742, 27114) (14685, 27114) STARTING UNMASKING ROUND 80 ara cc cxg2 80 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27114) (14685, 27114) (68742, 27106) (14685, 27106) STARTING UNMASKING ROUND 81 ara cc cxg2 81 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27106) (14685, 27106) (68742, 27099) (14685, 27099) STARTING UNMASKING ROUND 82 ara cc cxg2 82 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27099) (14685, 27099) (68742, 27091) (14685, 27091) STARTING UNMASKING ROUND 83 ara cc cxg2 83 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27091) (14685, 27091) (68742, 27083) (14685, 27083) STARTING UNMASKING ROUND 84 ara cc cxg2 84 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27083) (14685, 27083) (68742, 27077) (14685, 27077) STARTING UNMASKING ROUND 85 ara cc cxg2 85 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27077) (14685, 27077) (68742, 27070) (14685, 27070) STARTING UNMASKING ROUND 86 ara cc cxg2 86 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 1.00 0.99 5000 qa 0.99 0.95 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27070) (14685, 27070) (68742, 27065) (14685, 27065) STARTING UNMASKING ROUND 87 ara cc cxg2 87 precision recall f1-score support ae 0.98 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27065) (14685, 27065) (68742, 27059) (14685, 27059) STARTING UNMASKING ROUND 88 ara cc cxg2 88 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.98 1868 sy 0.99 0.96 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27059) (14685, 27059) (68742, 27051) (14685, 27051) STARTING UNMASKING ROUND 89 ara cc cxg2 89 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.96 0.97 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27051) (14685, 27051) (68742, 27043) (14685, 27043) STARTING UNMASKING ROUND 90 ara cc cxg2 90 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.96 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27043) (14685, 27043) (68742, 27035) (14685, 27035) STARTING UNMASKING ROUND 91 ara cc cxg2 91 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.96 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27035) (14685, 27035) (68742, 27028) (14685, 27028) STARTING UNMASKING ROUND 92 ara cc cxg2 92 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.96 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27028) (14685, 27028) (68742, 27020) (14685, 27020) STARTING UNMASKING ROUND 93 ara cc cxg2 93 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27020) (14685, 27020) (68742, 27012) (14685, 27012) STARTING UNMASKING ROUND 94 ara cc cxg2 94 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27012) (14685, 27012) (68742, 27006) (14685, 27006) STARTING UNMASKING ROUND 95 ara cc cxg2 95 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27006) (14685, 27006) (68742, 27001) (14685, 27001) STARTING UNMASKING ROUND 96 ara cc cxg2 96 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.97 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 27001) (14685, 27001) (68742, 26994) (14685, 26994) STARTING UNMASKING ROUND 97 ara cc cxg2 97 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.96 0.97 1868 sy 0.99 0.96 0.98 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 26994) (14685, 26994) (68742, 26986) (14685, 26986) STARTING UNMASKING ROUND 98 ara cc cxg2 98 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.95 0.97 1868 sy 0.99 0.96 0.97 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 26986) (14685, 26986) (68742, 26978) (14685, 26978) STARTING UNMASKING ROUND 99 ara cc cxg2 99 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.95 0.97 1868 sy 0.99 0.96 0.97 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 26978) (14685, 26978) (68742, 26970) (14685, 26970) STARTING UNMASKING ROUND 100 ara cc cxg2 100 precision recall f1-score support ae 0.97 0.99 0.98 5000 ps 0.98 0.99 0.99 5000 qa 0.99 0.95 0.97 1868 sy 0.99 0.96 0.97 2817 avg / total 0.98 0.98 0.98 14685 Reducing feature vectors. (68742, 26970) (14685, 26970) (68742, 26963) (14685, 26963)