predicting req-location with req-location set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 509 0.698 Top alg was 110: ( req-seminar-type number-of-person ) predicting req-duration with req-duration set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 605 0.641 Top alg was 810: ( group-name req-event-type ) predicting req-start-time with req-start-time set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 1026 0.391 Top alg was 014: ( day-of-week-of-last-meeting-with-these-attendees most-common-time-these-attendees-last-60-days ) predicting day-of-week with day-of-week set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 739 0.561 Top alg was 1115: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting req-location with big set aggressive mode. threshold = 3.17742e-07 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 447 0.735 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-duration with big set aggressive mode. threshold = 3.17742e-07 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 457 0.729 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-start-time with big set aggressive mode. threshold = 3.17742e-07 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 841 0.501 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting day-of-week with big set aggressive mode. threshold = 3.17742e-07 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting req-location with big set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 447 0.735 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-duration with big set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 457 0.729 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-start-time with big set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 841 0.501 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting day-of-week with big set name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting req-start-time with big set aggressive mode. threshold = 0.001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 952 0.435 Top alg was 1121: ( lunchtime? most-common-time-these-attendees ) predicting req-start-time with big set aggressive mode. threshold = 0.0001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 951 0.436 Top alg was 1121: ( lunchtime? most-common-time-these-attendees ) predicting req-start-time with big set aggressive mode. threshold = 1e-05 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 842 0.500 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-start-time with big set aggressive mode. threshold = 1e-06 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 841 0.501 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-start-time with big set aggressive mode. threshold = 1e-07 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 841 0.501 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-duration with big set aggressive mode. threshold = 0.001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 456 0.729 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-duration with big set aggressive mode. threshold = 0.0001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 457 0.729 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting req-location with big set aggressive mode. threshold = 0.001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 447 0.735 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting day-of-week with big set aggressive mode. threshold = 0.001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 813 0.518 Top alg was 2432: ( most-common-day-these-attendees-last-60-days req-sorted-attendees ) predicting day-of-week with big set aggressive mode. threshold = 0.0001 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 751 0.554 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting day-of-week with big set aggressive mode. threshold = 1e-05 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting day-of-week with big set aggressive mode. threshold = 1e-06 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting day-of-week with big set aggressive mode. threshold = 1e-07 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting day-of-week with big set aggressive mode. threshold = 1e-08 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting day-of-week with big set aggressive mode. threshold = 0.001 at example 10, number of predictors still alive: 561 at example 20, number of predictors still alive: 561 at example 30, number of predictors still alive: 541 at example 40, number of predictors still alive: 417 at example 50, number of predictors still alive: 281 at example 60, number of predictors still alive: 264 at example 70, number of predictors still alive: 226 at example 80, number of predictors still alive: 193 at example 90, number of predictors still alive: 163 at example 100, number of predictors still alive: 103 at example 110, number of predictors still alive: 74 at example 120, number of predictors still alive: 65 at example 130, number of predictors still alive: 64 at example 140, number of predictors still alive: 43 at example 150, number of predictors still alive: 43 at example 160, number of predictors still alive: 40 at example 170, number of predictors still alive: 39 at example 180, number of predictors still alive: 39 at example 190, number of predictors still alive: 36 at example 200, number of predictors still alive: 35 at example 210, number of predictors still alive: 35 at example 220, number of predictors still alive: 35 at example 230, number of predictors still alive: 35 at example 240, number of predictors still alive: 34 at example 250, number of predictors still alive: 29 at example 260, number of predictors still alive: 29 at example 270, number of predictors still alive: 28 at example 280, number of predictors still alive: 28 at example 290, number of predictors still alive: 24 at example 300, number of predictors still alive: 22 at example 310, number of predictors still alive: 14 at example 320, number of predictors still alive: 13 at example 330, number of predictors still alive: 11 at example 340, number of predictors still alive: 11 at example 350, number of predictors still alive: 11 at example 360, number of predictors still alive: 11 at example 370, number of predictors still alive: 11 at example 380, number of predictors still alive: 11 at example 390, number of predictors still alive: 11 at example 400, number of predictors still alive: 11 at example 410, number of predictors still alive: 11 at example 420, number of predictors still alive: 11 at example 430, number of predictors still alive: 11 at example 440, number of predictors still alive: 11 at example 450, number of predictors still alive: 11 at example 460, number of predictors still alive: 11 at example 470, number of predictors still alive: 11 at example 480, number of predictors still alive: 11 at example 490, number of predictors still alive: 11 at example 500, number of predictors still alive: 11 at example 510, number of predictors still alive: 11 at example 520, number of predictors still alive: 10 at example 530, number of predictors still alive: 8 at example 540, number of predictors still alive: 8 at example 550, number of predictors still alive: 8 at example 560, number of predictors still alive: 8 at example 570, number of predictors still alive: 8 at example 580, number of predictors still alive: 8 at example 590, number of predictors still alive: 8 at example 600, number of predictors still alive: 8 at example 610, number of predictors still alive: 8 at example 620, number of predictors still alive: 8 at example 630, number of predictors still alive: 7 at example 640, number of predictors still alive: 7 at example 650, number of predictors still alive: 7 at example 660, number of predictors still alive: 7 at example 670, number of predictors still alive: 7 at example 680, number of predictors still alive: 7 at example 690, number of predictors still alive: 7 at example 700, number of predictors still alive: 7 at example 710, number of predictors still alive: 7 at example 720, number of predictors still alive: 7 at example 730, number of predictors still alive: 7 at example 740, number of predictors still alive: 7 at example 750, number of predictors still alive: 7 at example 760, number of predictors still alive: 7 at example 770, number of predictors still alive: 7 at example 780, number of predictors still alive: 7 at example 790, number of predictors still alive: 7 at example 800, number of predictors still alive: 7 at example 810, number of predictors still alive: 7 at example 820, number of predictors still alive: 7 at example 830, number of predictors still alive: 5 at example 840, number of predictors still alive: 4 at example 850, number of predictors still alive: 4 at example 860, number of predictors still alive: 4 at example 870, number of predictors still alive: 4 at example 880, number of predictors still alive: 4 at example 890, number of predictors still alive: 4 at example 900, number of predictors still alive: 4 at example 910, number of predictors still alive: 4 at example 920, number of predictors still alive: 4 at example 930, number of predictors still alive: 4 at example 940, number of predictors still alive: 4 at example 950, number of predictors still alive: 4 at example 960, number of predictors still alive: 4 at example 970, number of predictors still alive: 4 at example 980, number of predictors still alive: 4 at example 990, number of predictors still alive: 4 at example 1000, number of predictors still alive: 4 at example 1010, number of predictors still alive: 4 at example 1020, number of predictors still alive: 4 at example 1030, number of predictors still alive: 4 at example 1040, number of predictors still alive: 4 at example 1050, number of predictors still alive: 4 at example 1060, number of predictors still alive: 4 at example 1070, number of predictors still alive: 4 at example 1080, number of predictors still alive: 4 at example 1090, number of predictors still alive: 4 at example 1100, number of predictors still alive: 4 at example 1110, number of predictors still alive: 4 at example 1120, number of predictors still alive: 4 at example 1130, number of predictors still alive: 4 at example 1140, number of predictors still alive: 4 at example 1150, number of predictors still alive: 4 at example 1160, number of predictors still alive: 4 at example 1170, number of predictors still alive: 4 at example 1180, number of predictors still alive: 4 at example 1190, number of predictors still alive: 4 at example 1200, number of predictors still alive: 4 at example 1210, number of predictors still alive: 4 at example 1220, number of predictors still alive: 4 at example 1230, number of predictors still alive: 4 at example 1240, number of predictors still alive: 4 at example 1250, number of predictors still alive: 4 at example 1260, number of predictors still alive: 4 at example 1270, number of predictors still alive: 4 at example 1280, number of predictors still alive: 4 at example 1290, number of predictors still alive: 4 at example 1300, number of predictors still alive: 4 at example 1310, number of predictors still alive: 4 at example 1320, number of predictors still alive: 4 at example 1330, number of predictors still alive: 4 at example 1340, number of predictors still alive: 4 at example 1350, number of predictors still alive: 4 at example 1360, number of predictors still alive: 4 at example 1370, number of predictors still alive: 4 at example 1380, number of predictors still alive: 4 at example 1390, number of predictors still alive: 4 at example 1400, number of predictors still alive: 4 at example 1410, number of predictors still alive: 4 at example 1420, number of predictors still alive: 4 at example 1430, number of predictors still alive: 4 at example 1440, number of predictors still alive: 4 at example 1450, number of predictors still alive: 4 at example 1460, number of predictors still alive: 4 at example 1470, number of predictors still alive: 4 at example 1480, number of predictors still alive: 4 at example 1490, number of predictors still alive: 4 at example 1500, number of predictors still alive: 4 at example 1510, number of predictors still alive: 4 at example 1520, number of predictors still alive: 4 at example 1530, number of predictors still alive: 4 at example 1540, number of predictors still alive: 4 at example 1550, number of predictors still alive: 4 at example 1560, number of predictors still alive: 4 at example 1570, number of predictors still alive: 4 at example 1580, number of predictors still alive: 4 at example 1590, number of predictors still alive: 4 at example 1600, number of predictors still alive: 4 at example 1610, number of predictors still alive: 4 at example 1620, number of predictors still alive: 4 at example 1630, number of predictors still alive: 4 at example 1640, number of predictors still alive: 4 at example 1650, number of predictors still alive: 4 at example 1660, number of predictors still alive: 4 at example 1670, number of predictors still alive: 4 at example 1680, number of predictors still alive: 4 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 813 0.518 Top alg was 2432: ( most-common-day-these-attendees-last-60-days req-sorted-attendees ) predicting day-of-week with big set aggressive mode. threshold = 0.0001 at example 10, number of predictors still alive: 561 at example 20, number of predictors still alive: 561 at example 30, number of predictors still alive: 561 at example 40, number of predictors still alive: 552 at example 50, number of predictors still alive: 522 at example 60, number of predictors still alive: 512 at example 70, number of predictors still alive: 472 at example 80, number of predictors still alive: 438 at example 90, number of predictors still alive: 412 at example 100, number of predictors still alive: 328 at example 110, number of predictors still alive: 246 at example 120, number of predictors still alive: 227 at example 130, number of predictors still alive: 226 at example 140, number of predictors still alive: 119 at example 150, number of predictors still alive: 119 at example 160, number of predictors still alive: 105 at example 170, number of predictors still alive: 96 at example 180, number of predictors still alive: 91 at example 190, number of predictors still alive: 89 at example 200, number of predictors still alive: 88 at example 210, number of predictors still alive: 85 at example 220, number of predictors still alive: 84 at example 230, number of predictors still alive: 79 at example 240, number of predictors still alive: 70 at example 250, number of predictors still alive: 66 at example 260, number of predictors still alive: 61 at example 270, number of predictors still alive: 61 at example 280, number of predictors still alive: 60 at example 290, number of predictors still alive: 59 at example 300, number of predictors still alive: 51 at example 310, number of predictors still alive: 41 at example 320, number of predictors still alive: 37 at example 330, number of predictors still alive: 35 at example 340, number of predictors still alive: 35 at example 350, number of predictors still alive: 33 at example 360, number of predictors still alive: 32 at example 370, number of predictors still alive: 32 at example 380, number of predictors still alive: 32 at example 390, number of predictors still alive: 32 at example 400, number of predictors still alive: 31 at example 410, number of predictors still alive: 31 at example 420, number of predictors still alive: 31 at example 430, number of predictors still alive: 31 at example 440, number of predictors still alive: 31 at example 450, number of predictors still alive: 31 at example 460, number of predictors still alive: 31 at example 470, number of predictors still alive: 31 at example 480, number of predictors still alive: 31 at example 490, number of predictors still alive: 30 at example 500, number of predictors still alive: 28 at example 510, number of predictors still alive: 28 at example 520, number of predictors still alive: 26 at example 530, number of predictors still alive: 21 at example 540, number of predictors still alive: 21 at example 550, number of predictors still alive: 21 at example 560, number of predictors still alive: 16 at example 570, number of predictors still alive: 16 at example 580, number of predictors still alive: 16 at example 590, number of predictors still alive: 14 at example 600, number of predictors still alive: 12 at example 610, number of predictors still alive: 12 at example 620, number of predictors still alive: 10 at example 630, number of predictors still alive: 9 at example 640, number of predictors still alive: 9 at example 650, number of predictors still alive: 9 at example 660, number of predictors still alive: 8 at example 670, number of predictors still alive: 8 at example 680, number of predictors still alive: 8 at example 690, number of predictors still alive: 8 at example 700, number of predictors still alive: 7 at example 710, number of predictors still alive: 7 at example 720, number of predictors still alive: 7 at example 730, number of predictors still alive: 7 at example 740, number of predictors still alive: 6 at example 750, number of predictors still alive: 6 at example 760, number of predictors still alive: 5 at example 770, number of predictors still alive: 4 at example 780, number of predictors still alive: 4 at example 790, number of predictors still alive: 4 at example 800, number of predictors still alive: 4 at example 810, number of predictors still alive: 4 at example 820, number of predictors still alive: 4 at example 830, number of predictors still alive: 4 at example 840, number of predictors still alive: 4 at example 850, number of predictors still alive: 4 at example 860, number of predictors still alive: 4 at example 870, number of predictors still alive: 4 at example 880, number of predictors still alive: 4 at example 890, number of predictors still alive: 4 at example 900, number of predictors still alive: 4 at example 910, number of predictors still alive: 4 at example 920, number of predictors still alive: 4 at example 930, number of predictors still alive: 4 at example 940, number of predictors still alive: 4 at example 950, number of predictors still alive: 4 at example 960, number of predictors still alive: 4 at example 970, number of predictors still alive: 4 at example 980, number of predictors still alive: 4 at example 990, number of predictors still alive: 4 at example 1000, number of predictors still alive: 4 at example 1010, number of predictors still alive: 4 at example 1020, number of predictors still alive: 4 at example 1030, number of predictors still alive: 4 at example 1040, number of predictors still alive: 4 at example 1050, number of predictors still alive: 4 at example 1060, number of predictors still alive: 4 at example 1070, number of predictors still alive: 4 at example 1080, number of predictors still alive: 4 at example 1090, number of predictors still alive: 4 at example 1100, number of predictors still alive: 4 at example 1110, number of predictors still alive: 4 at example 1120, number of predictors still alive: 4 at example 1130, number of predictors still alive: 4 at example 1140, number of predictors still alive: 4 at example 1150, number of predictors still alive: 4 at example 1160, number of predictors still alive: 4 at example 1170, number of predictors still alive: 4 at example 1180, number of predictors still alive: 4 at example 1190, number of predictors still alive: 4 at example 1200, number of predictors still alive: 4 at example 1210, number of predictors still alive: 4 at example 1220, number of predictors still alive: 4 at example 1230, number of predictors still alive: 4 at example 1240, number of predictors still alive: 4 at example 1250, number of predictors still alive: 4 at example 1260, number of predictors still alive: 4 at example 1270, number of predictors still alive: 4 at example 1280, number of predictors still alive: 4 at example 1290, number of predictors still alive: 4 at example 1300, number of predictors still alive: 4 at example 1310, number of predictors still alive: 4 at example 1320, number of predictors still alive: 4 at example 1330, number of predictors still alive: 4 at example 1340, number of predictors still alive: 4 at example 1350, number of predictors still alive: 4 at example 1360, number of predictors still alive: 4 at example 1370, number of predictors still alive: 4 at example 1380, number of predictors still alive: 4 at example 1390, number of predictors still alive: 4 at example 1400, number of predictors still alive: 4 at example 1410, number of predictors still alive: 4 at example 1420, number of predictors still alive: 4 at example 1430, number of predictors still alive: 4 at example 1440, number of predictors still alive: 4 at example 1450, number of predictors still alive: 4 at example 1460, number of predictors still alive: 4 at example 1470, number of predictors still alive: 4 at example 1480, number of predictors still alive: 4 at example 1490, number of predictors still alive: 4 at example 1500, number of predictors still alive: 4 at example 1510, number of predictors still alive: 4 at example 1520, number of predictors still alive: 4 at example 1530, number of predictors still alive: 4 at example 1540, number of predictors still alive: 4 at example 1550, number of predictors still alive: 4 at example 1560, number of predictors still alive: 4 at example 1570, number of predictors still alive: 4 at example 1580, number of predictors still alive: 4 at example 1590, number of predictors still alive: 4 at example 1600, number of predictors still alive: 4 at example 1610, number of predictors still alive: 4 at example 1620, number of predictors still alive: 4 at example 1630, number of predictors still alive: 4 at example 1640, number of predictors still alive: 4 at example 1650, number of predictors still alive: 4 at example 1660, number of predictors still alive: 4 at example 1670, number of predictors still alive: 4 at example 1680, number of predictors still alive: 4 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 751 0.554 Top alg was 032: ( req-seminar-type req-sorted-attendees ) predicting day-of-week with big set aggressive mode. threshold = 1e-05 at example 10, number of predictors still alive: 561 at example 20, number of predictors still alive: 561 at example 30, number of predictors still alive: 561 at example 40, number of predictors still alive: 561 at example 50, number of predictors still alive: 561 at example 60, number of predictors still alive: 561 at example 70, number of predictors still alive: 555 at example 80, number of predictors still alive: 548 at example 90, number of predictors still alive: 533 at example 100, number of predictors still alive: 472 at example 110, number of predictors still alive: 404 at example 120, number of predictors still alive: 381 at example 130, number of predictors still alive: 376 at example 140, number of predictors still alive: 267 at example 150, number of predictors still alive: 261 at example 160, number of predictors still alive: 241 at example 170, number of predictors still alive: 235 at example 180, number of predictors still alive: 225 at example 190, number of predictors still alive: 224 at example 200, number of predictors still alive: 223 at example 210, number of predictors still alive: 220 at example 220, number of predictors still alive: 217 at example 230, number of predictors still alive: 203 at example 240, number of predictors still alive: 188 at example 250, number of predictors still alive: 165 at example 260, number of predictors still alive: 147 at example 270, number of predictors still alive: 147 at example 280, number of predictors still alive: 145 at example 290, number of predictors still alive: 142 at example 300, number of predictors still alive: 111 at example 310, number of predictors still alive: 73 at example 320, number of predictors still alive: 59 at example 330, number of predictors still alive: 48 at example 340, number of predictors still alive: 48 at example 350, number of predictors still alive: 46 at example 360, number of predictors still alive: 45 at example 370, number of predictors still alive: 45 at example 380, number of predictors still alive: 45 at example 390, number of predictors still alive: 44 at example 400, number of predictors still alive: 44 at example 410, number of predictors still alive: 44 at example 420, number of predictors still alive: 44 at example 430, number of predictors still alive: 44 at example 440, number of predictors still alive: 44 at example 450, number of predictors still alive: 44 at example 460, number of predictors still alive: 44 at example 470, number of predictors still alive: 44 at example 480, number of predictors still alive: 44 at example 490, number of predictors still alive: 44 at example 500, number of predictors still alive: 43 at example 510, number of predictors still alive: 43 at example 520, number of predictors still alive: 41 at example 530, number of predictors still alive: 35 at example 540, number of predictors still alive: 35 at example 550, number of predictors still alive: 33 at example 560, number of predictors still alive: 23 at example 570, number of predictors still alive: 18 at example 580, number of predictors still alive: 16 at example 590, number of predictors still alive: 14 at example 600, number of predictors still alive: 13 at example 610, number of predictors still alive: 13 at example 620, number of predictors still alive: 12 at example 630, number of predictors still alive: 11 at example 640, number of predictors still alive: 11 at example 650, number of predictors still alive: 11 at example 660, number of predictors still alive: 11 at example 670, number of predictors still alive: 11 at example 680, number of predictors still alive: 11 at example 690, number of predictors still alive: 11 at example 700, number of predictors still alive: 8 at example 710, number of predictors still alive: 8 at example 720, number of predictors still alive: 8 at example 730, number of predictors still alive: 8 at example 740, number of predictors still alive: 8 at example 750, number of predictors still alive: 8 at example 760, number of predictors still alive: 8 at example 770, number of predictors still alive: 8 at example 780, number of predictors still alive: 8 at example 790, number of predictors still alive: 8 at example 800, number of predictors still alive: 4 at example 810, number of predictors still alive: 4 at example 820, number of predictors still alive: 4 at example 830, number of predictors still alive: 4 at example 840, number of predictors still alive: 4 at example 850, number of predictors still alive: 4 at example 860, number of predictors still alive: 4 at example 870, number of predictors still alive: 4 at example 880, number of predictors still alive: 4 at example 890, number of predictors still alive: 4 at example 900, number of predictors still alive: 4 at example 910, number of predictors still alive: 4 at example 920, number of predictors still alive: 4 at example 930, number of predictors still alive: 4 at example 940, number of predictors still alive: 4 at example 950, number of predictors still alive: 4 at example 960, number of predictors still alive: 4 at example 970, number of predictors still alive: 4 at example 980, number of predictors still alive: 4 at example 990, number of predictors still alive: 4 at example 1000, number of predictors still alive: 4 at example 1010, number of predictors still alive: 4 at example 1020, number of predictors still alive: 4 at example 1030, number of predictors still alive: 4 at example 1040, number of predictors still alive: 4 at example 1050, number of predictors still alive: 4 at example 1060, number of predictors still alive: 4 at example 1070, number of predictors still alive: 4 at example 1080, number of predictors still alive: 4 at example 1090, number of predictors still alive: 4 at example 1100, number of predictors still alive: 4 at example 1110, number of predictors still alive: 4 at example 1120, number of predictors still alive: 4 at example 1130, number of predictors still alive: 4 at example 1140, number of predictors still alive: 4 at example 1150, number of predictors still alive: 4 at example 1160, number of predictors still alive: 4 at example 1170, number of predictors still alive: 4 at example 1180, number of predictors still alive: 4 at example 1190, number of predictors still alive: 4 at example 1200, number of predictors still alive: 4 at example 1210, number of predictors still alive: 4 at example 1220, number of predictors still alive: 4 at example 1230, number of predictors still alive: 4 at example 1240, number of predictors still alive: 4 at example 1250, number of predictors still alive: 4 at example 1260, number of predictors still alive: 4 at example 1270, number of predictors still alive: 4 at example 1280, number of predictors still alive: 4 at example 1290, number of predictors still alive: 4 at example 1300, number of predictors still alive: 4 at example 1310, number of predictors still alive: 4 at example 1320, number of predictors still alive: 4 at example 1330, number of predictors still alive: 4 at example 1340, number of predictors still alive: 4 at example 1350, number of predictors still alive: 4 at example 1360, number of predictors still alive: 4 at example 1370, number of predictors still alive: 4 at example 1380, number of predictors still alive: 4 at example 1390, number of predictors still alive: 4 at example 1400, number of predictors still alive: 4 at example 1410, number of predictors still alive: 4 at example 1420, number of predictors still alive: 4 at example 1430, number of predictors still alive: 4 at example 1440, number of predictors still alive: 4 at example 1450, number of predictors still alive: 4 at example 1460, number of predictors still alive: 4 at example 1470, number of predictors still alive: 4 at example 1480, number of predictors still alive: 4 at example 1490, number of predictors still alive: 4 at example 1500, number of predictors still alive: 4 at example 1510, number of predictors still alive: 4 at example 1520, number of predictors still alive: 4 at example 1530, number of predictors still alive: 4 at example 1540, number of predictors still alive: 4 at example 1550, number of predictors still alive: 4 at example 1560, number of predictors still alive: 4 at example 1570, number of predictors still alive: 4 at example 1580, number of predictors still alive: 4 at example 1590, number of predictors still alive: 4 at example 1600, number of predictors still alive: 4 at example 1610, number of predictors still alive: 4 at example 1620, number of predictors still alive: 4 at example 1630, number of predictors still alive: 4 at example 1640, number of predictors still alive: 4 at example 1650, number of predictors still alive: 4 at example 1660, number of predictors still alive: 4 at example 1670, number of predictors still alive: 4 at example 1680, number of predictors still alive: 4 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting day-of-week with big set aggressive mode. threshold = 1e-06 at example 10, number of predictors still alive: 561 at example 20, number of predictors still alive: 561 at example 30, number of predictors still alive: 561 at example 40, number of predictors still alive: 561 at example 50, number of predictors still alive: 561 at example 60, number of predictors still alive: 561 at example 70, number of predictors still alive: 559 at example 80, number of predictors still alive: 559 at example 90, number of predictors still alive: 556 at example 100, number of predictors still alive: 534 at example 110, number of predictors still alive: 491 at example 120, number of predictors still alive: 485 at example 130, number of predictors still alive: 484 at example 140, number of predictors still alive: 406 at example 150, number of predictors still alive: 395 at example 160, number of predictors still alive: 377 at example 170, number of predictors still alive: 368 at example 180, number of predictors still alive: 361 at example 190, number of predictors still alive: 360 at example 200, number of predictors still alive: 357 at example 210, number of predictors still alive: 353 at example 220, number of predictors still alive: 351 at example 230, number of predictors still alive: 336 at example 240, number of predictors still alive: 319 at example 250, number of predictors still alive: 291 at example 260, number of predictors still alive: 260 at example 270, number of predictors still alive: 258 at example 280, number of predictors still alive: 252 at example 290, number of predictors still alive: 242 at example 300, number of predictors still alive: 186 at example 310, number of predictors still alive: 131 at example 320, number of predictors still alive: 85 at example 330, number of predictors still alive: 62 at example 340, number of predictors still alive: 56 at example 350, number of predictors still alive: 52 at example 360, number of predictors still alive: 51 at example 370, number of predictors still alive: 51 at example 380, number of predictors still alive: 51 at example 390, number of predictors still alive: 51 at example 400, number of predictors still alive: 51 at example 410, number of predictors still alive: 51 at example 420, number of predictors still alive: 51 at example 430, number of predictors still alive: 51 at example 440, number of predictors still alive: 51 at example 450, number of predictors still alive: 51 at example 460, number of predictors still alive: 51 at example 470, number of predictors still alive: 51 at example 480, number of predictors still alive: 51 at example 490, number of predictors still alive: 49 at example 500, number of predictors still alive: 48 at example 510, number of predictors still alive: 48 at example 520, number of predictors still alive: 48 at example 530, number of predictors still alive: 46 at example 540, number of predictors still alive: 46 at example 550, number of predictors still alive: 42 at example 560, number of predictors still alive: 40 at example 570, number of predictors still alive: 25 at example 580, number of predictors still alive: 23 at example 590, number of predictors still alive: 23 at example 600, number of predictors still alive: 19 at example 610, number of predictors still alive: 19 at example 620, number of predictors still alive: 18 at example 630, number of predictors still alive: 18 at example 640, number of predictors still alive: 18 at example 650, number of predictors still alive: 18 at example 660, number of predictors still alive: 18 at example 670, number of predictors still alive: 18 at example 680, number of predictors still alive: 18 at example 690, number of predictors still alive: 18 at example 700, number of predictors still alive: 16 at example 710, number of predictors still alive: 16 at example 720, number of predictors still alive: 16 at example 730, number of predictors still alive: 16 at example 740, number of predictors still alive: 16 at example 750, number of predictors still alive: 16 at example 760, number of predictors still alive: 16 at example 770, number of predictors still alive: 16 at example 780, number of predictors still alive: 16 at example 790, number of predictors still alive: 16 at example 800, number of predictors still alive: 9 at example 810, number of predictors still alive: 8 at example 820, number of predictors still alive: 8 at example 830, number of predictors still alive: 7 at example 840, number of predictors still alive: 5 at example 850, number of predictors still alive: 4 at example 860, number of predictors still alive: 4 at example 870, number of predictors still alive: 4 at example 880, number of predictors still alive: 4 at example 890, number of predictors still alive: 4 at example 900, number of predictors still alive: 4 at example 910, number of predictors still alive: 4 at example 920, number of predictors still alive: 4 at example 930, number of predictors still alive: 4 at example 940, number of predictors still alive: 4 at example 950, number of predictors still alive: 4 at example 960, number of predictors still alive: 4 at example 970, number of predictors still alive: 4 at example 980, number of predictors still alive: 4 at example 990, number of predictors still alive: 4 at example 1000, number of predictors still alive: 4 at example 1010, number of predictors still alive: 4 at example 1020, number of predictors still alive: 4 at example 1030, number of predictors still alive: 4 at example 1040, number of predictors still alive: 4 at example 1050, number of predictors still alive: 4 at example 1060, number of predictors still alive: 4 at example 1070, number of predictors still alive: 4 at example 1080, number of predictors still alive: 4 at example 1090, number of predictors still alive: 4 at example 1100, number of predictors still alive: 4 at example 1110, number of predictors still alive: 4 at example 1120, number of predictors still alive: 4 at example 1130, number of predictors still alive: 4 at example 1140, number of predictors still alive: 4 at example 1150, number of predictors still alive: 4 at example 1160, number of predictors still alive: 4 at example 1170, number of predictors still alive: 4 at example 1180, number of predictors still alive: 4 at example 1190, number of predictors still alive: 4 at example 1200, number of predictors still alive: 4 at example 1210, number of predictors still alive: 4 at example 1220, number of predictors still alive: 4 at example 1230, number of predictors still alive: 4 at example 1240, number of predictors still alive: 4 at example 1250, number of predictors still alive: 4 at example 1260, number of predictors still alive: 4 at example 1270, number of predictors still alive: 4 at example 1280, number of predictors still alive: 4 at example 1290, number of predictors still alive: 4 at example 1300, number of predictors still alive: 4 at example 1310, number of predictors still alive: 4 at example 1320, number of predictors still alive: 4 at example 1330, number of predictors still alive: 4 at example 1340, number of predictors still alive: 4 at example 1350, number of predictors still alive: 4 at example 1360, number of predictors still alive: 4 at example 1370, number of predictors still alive: 4 at example 1380, number of predictors still alive: 4 at example 1390, number of predictors still alive: 4 at example 1400, number of predictors still alive: 4 at example 1410, number of predictors still alive: 4 at example 1420, number of predictors still alive: 4 at example 1430, number of predictors still alive: 4 at example 1440, number of predictors still alive: 4 at example 1450, number of predictors still alive: 4 at example 1460, number of predictors still alive: 4 at example 1470, number of predictors still alive: 4 at example 1480, number of predictors still alive: 4 at example 1490, number of predictors still alive: 4 at example 1500, number of predictors still alive: 4 at example 1510, number of predictors still alive: 4 at example 1520, number of predictors still alive: 4 at example 1530, number of predictors still alive: 4 at example 1540, number of predictors still alive: 4 at example 1550, number of predictors still alive: 4 at example 1560, number of predictors still alive: 4 at example 1570, number of predictors still alive: 4 at example 1580, number of predictors still alive: 4 at example 1590, number of predictors still alive: 4 at example 1600, number of predictors still alive: 4 at example 1610, number of predictors still alive: 4 at example 1620, number of predictors still alive: 4 at example 1630, number of predictors still alive: 4 at example 1640, number of predictors still alive: 4 at example 1650, number of predictors still alive: 4 at example 1660, number of predictors still alive: 4 at example 1670, number of predictors still alive: 4 at example 1680, number of predictors still alive: 4 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 744 0.558 Top alg was 030: ( req-seminar-type day-of-week-of-next-meeting-with-these-attendees ) predicting day-of-week with big set aggressive mode. threshold = 0.01 at example 10, number of predictors still alive: 561 at example 20, number of predictors still alive: 427 at example 30, number of predictors still alive: 361 at example 40, number of predictors still alive: 205 at example 50, number of predictors still alive: 132 at example 60, number of predictors still alive: 130 at example 70, number of predictors still alive: 88 at example 80, number of predictors still alive: 69 at example 90, number of predictors still alive: 50 at example 100, number of predictors still alive: 33 at example 110, number of predictors still alive: 29 at example 120, number of predictors still alive: 28 at example 130, number of predictors still alive: 28 at example 140, number of predictors still alive: 23 at example 150, number of predictors still alive: 23 at example 160, number of predictors still alive: 13 at example 170, number of predictors still alive: 13 at example 180, number of predictors still alive: 13 at example 190, number of predictors still alive: 10 at example 200, number of predictors still alive: 10 at example 210, number of predictors still alive: 10 at example 220, number of predictors still alive: 10 at example 230, number of predictors still alive: 10 at example 240, number of predictors still alive: 10 at example 250, number of predictors still alive: 10 at example 260, number of predictors still alive: 10 at example 270, number of predictors still alive: 10 at example 280, number of predictors still alive: 10 at example 290, number of predictors still alive: 9 at example 300, number of predictors still alive: 6 at example 310, number of predictors still alive: 6 at example 320, number of predictors still alive: 6 at example 330, number of predictors still alive: 6 at example 340, number of predictors still alive: 6 at example 350, number of predictors still alive: 6 at example 360, number of predictors still alive: 6 at example 370, number of predictors still alive: 6 at example 380, number of predictors still alive: 6 at example 390, number of predictors still alive: 6 at example 400, number of predictors still alive: 6 at example 410, number of predictors still alive: 6 at example 420, number of predictors still alive: 6 at example 430, number of predictors still alive: 6 at example 440, number of predictors still alive: 6 at example 450, number of predictors still alive: 6 at example 460, number of predictors still alive: 6 at example 470, number of predictors still alive: 6 at example 480, number of predictors still alive: 6 at example 490, number of predictors still alive: 5 at example 500, number of predictors still alive: 5 at example 510, number of predictors still alive: 4 at example 520, number of predictors still alive: 4 at example 530, number of predictors still alive: 4 at example 540, number of predictors still alive: 4 at example 550, number of predictors still alive: 4 at example 560, number of predictors still alive: 4 at example 570, number of predictors still alive: 4 at example 580, number of predictors still alive: 4 at example 590, number of predictors still alive: 4 at example 600, number of predictors still alive: 4 at example 610, number of predictors still alive: 4 at example 620, number of predictors still alive: 4 at example 630, number of predictors still alive: 4 at example 640, number of predictors still alive: 4 at example 650, number of predictors still alive: 4 at example 660, number of predictors still alive: 4 at example 670, number of predictors still alive: 4 at example 680, number of predictors still alive: 4 at example 690, number of predictors still alive: 4 at example 700, number of predictors still alive: 4 at example 710, number of predictors still alive: 4 at example 720, number of predictors still alive: 4 at example 730, number of predictors still alive: 4 at example 740, number of predictors still alive: 4 at example 750, number of predictors still alive: 4 at example 760, number of predictors still alive: 4 at example 770, number of predictors still alive: 4 at example 780, number of predictors still alive: 4 at example 790, number of predictors still alive: 4 at example 800, number of predictors still alive: 4 at example 810, number of predictors still alive: 4 at example 820, number of predictors still alive: 4 at example 830, number of predictors still alive: 4 at example 840, number of predictors still alive: 4 at example 850, number of predictors still alive: 4 at example 860, number of predictors still alive: 4 at example 870, number of predictors still alive: 4 at example 880, number of predictors still alive: 4 at example 890, number of predictors still alive: 4 at example 900, number of predictors still alive: 4 at example 910, number of predictors still alive: 4 at example 920, number of predictors still alive: 4 at example 930, number of predictors still alive: 4 at example 940, number of predictors still alive: 4 at example 950, number of predictors still alive: 4 at example 960, number of predictors still alive: 4 at example 970, number of predictors still alive: 4 at example 980, number of predictors still alive: 4 at example 990, number of predictors still alive: 4 at example 1000, number of predictors still alive: 4 at example 1010, number of predictors still alive: 4 at example 1020, number of predictors still alive: 4 at example 1030, number of predictors still alive: 4 at example 1040, number of predictors still alive: 4 at example 1050, number of predictors still alive: 4 at example 1060, number of predictors still alive: 4 at example 1070, number of predictors still alive: 4 at example 1080, number of predictors still alive: 4 at example 1090, number of predictors still alive: 4 at example 1100, number of predictors still alive: 4 at example 1110, number of predictors still alive: 4 at example 1120, number of predictors still alive: 4 at example 1130, number of predictors still alive: 4 at example 1140, number of predictors still alive: 4 at example 1150, number of predictors still alive: 4 at example 1160, number of predictors still alive: 4 at example 1170, number of predictors still alive: 4 at example 1180, number of predictors still alive: 4 at example 1190, number of predictors still alive: 4 at example 1200, number of predictors still alive: 4 at example 1210, number of predictors still alive: 4 at example 1220, number of predictors still alive: 4 at example 1230, number of predictors still alive: 4 at example 1240, number of predictors still alive: 4 at example 1250, number of predictors still alive: 4 at example 1260, number of predictors still alive: 4 at example 1270, number of predictors still alive: 4 at example 1280, number of predictors still alive: 4 at example 1290, number of predictors still alive: 4 at example 1300, number of predictors still alive: 4 at example 1310, number of predictors still alive: 4 at example 1320, number of predictors still alive: 4 at example 1330, number of predictors still alive: 4 at example 1340, number of predictors still alive: 4 at example 1350, number of predictors still alive: 4 at example 1360, number of predictors still alive: 4 at example 1370, number of predictors still alive: 4 at example 1380, number of predictors still alive: 4 at example 1390, number of predictors still alive: 4 at example 1400, number of predictors still alive: 4 at example 1410, number of predictors still alive: 4 at example 1420, number of predictors still alive: 4 at example 1430, number of predictors still alive: 4 at example 1440, number of predictors still alive: 4 at example 1450, number of predictors still alive: 4 at example 1460, number of predictors still alive: 4 at example 1470, number of predictors still alive: 4 at example 1480, number of predictors still alive: 4 at example 1490, number of predictors still alive: 4 at example 1500, number of predictors still alive: 4 at example 1510, number of predictors still alive: 4 at example 1520, number of predictors still alive: 4 at example 1530, number of predictors still alive: 4 at example 1540, number of predictors still alive: 4 at example 1550, number of predictors still alive: 4 at example 1560, number of predictors still alive: 4 at example 1570, number of predictors still alive: 4 at example 1580, number of predictors still alive: 4 at example 1590, number of predictors still alive: 4 at example 1600, number of predictors still alive: 4 at example 1610, number of predictors still alive: 4 at example 1620, number of predictors still alive: 4 at example 1630, number of predictors still alive: 4 at example 1640, number of predictors still alive: 4 at example 1650, number of predictors still alive: 4 at example 1660, number of predictors still alive: 4 at example 1670, number of predictors still alive: 4 at example 1680, number of predictors still alive: 4 name number mistakes fraction_correct add-event-12-16-1993-13-16-9 1685 814 0.517 Top alg was 2432: ( most-common-day-these-attendees-last-60-days req-sorted-attendees )