2004/12/03 20:05:42.649 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2004/12/03 20:05:42.919 Real classification tree algorithm --> finished --> training error = 0.322222 test error = 0.355932

2004/12/03 20:05:28.909 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2004/12/03 20:05:38.583 AdaBoost algorithm --> finihed --> training error = 0.116667 test error = 0.0847458




2004/12/03 20:13:46.324 1 nearest neighbour algorithm started
2004/12/03 20:13:49.398 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0.152542

2004/12/03 20:13:56.388 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2004/12/03 20:13:56.649 Real classification tree algorithm --> finished --> training error = 0.342541 test error = 0.283333

2004/12/03 20:13:59.132 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2004/12/03 20:14:05.161 AdaBoost algorithm --> finihed --> training error = 0.143646 test error = 0.183333



2004/12/06 05:56:39.293 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2004/12/06 05:56:42.878 AdaBoost algorithm --> finihed --> training error = 0.277778 test error = 0.333333

2004/12/06 05:56:50.118 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2004/12/06 05:56:50.429 Real classification tree algorithm --> finished --> training error = 0.333333 test error = 0.166667

2004/12/06 05:56:53.593 1 nearest neighbour algorithm started
2004/12/06 05:56:54.064 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0.166667

2005/01/10 16:26:32.120 1 nearest neighbour algorithm started
2005/01/10 16:26:32.661 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/10 16:26:39.160 1 nearest neighbour algorithm started
2005/01/10 16:26:39.761 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/10 16:26:41.674 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 16:26:41.724 Real classification tree algorithm --> finished --> training error = 0.152174 test error = 0

2005/01/10 16:26:55.153 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 16:26:56.906 AdaBoost algorithm --> finihed --> training error = 0.152174 test error = 0

2005/01/10 16:27:06.379 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 16:27:06.489 Real classification tree algorithm --> finished --> training error = 0.205479 test error = 0

2005/01/10 16:27:09.333 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 16:27:38.525 AdaBoost algorithm --> finihed --> training error = 0.205479 test error = 0

2005/01/10 17:15:43.424 1 nearest neighbour algorithm started
2005/01/10 17:15:43.664 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/10 17:21:44.543 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 17:21:46.806 AdaBoost algorithm --> finihed --> training error = 0.153846 test error = 0

2005/01/10 17:25:24.179 1 nearest neighbour algorithm started
2005/01/10 17:25:26.071 1 nearest neighbour algorithm --> finished --> training error = 0.00487805 test error = 0

2005/01/10 17:42:00.772 1 nearest neighbour algorithm started
2005/01/10 17:42:01.012 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/10 17:42:03.706 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 17:42:05.038 AdaBoost algorithm --> finihed --> training error = 0 test error = 0

2005/01/10 17:42:16.454 1 nearest neighbour algorithm started
2005/01/10 17:42:16.705 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/10 23:58:36.110 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 23:58:37.783 AdaBoost algorithm --> finihed --> training error = 0.285714 test error = 0

2005/01/10 23:59:04.661 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 23:59:06.794 AdaBoost algorithm --> finihed --> training error = 0 test error = 0

2005/01/10 23:59:31.590 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/10 23:59:32.491 AdaBoost algorithm --> finihed --> training error = 0 test error = 0

2005/01/11 00:01:33.045 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:01:37.261 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 00:06:50.842 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:06:53.816 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 00:10:54.242 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:10:59.589 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 00:13:47.351 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:13:53.700 AdaBoost algorithm --> finihed --> training error = 0 test error = 0

2005/01/11 00:18:06.623 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:18:17.269 AdaBoost algorithm --> finihed --> training error = 0 test error = 0

2005/01/11 00:28:21.488 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:28:26.695 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 00:29:26.060 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:29:52.729 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 0

2005/01/11 00:31:43.568 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:31:49.417 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 00:39:45.201 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:39:48.365 AdaBoost algorithm --> finihed --> training error = 0.282609 test error = 0

2005/01/11 00:39:59.351 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 00:40:03.187 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 01:57:29.324 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 01:57:31.817 AdaBoost algorithm --> finihed --> training error = 0.26087 test error = 0

2005/01/11 01:57:38.978 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 01:57:52.107 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 0

2005/01/11 03:44:06.983 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 03:44:16.917 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 0

2005/01/11 05:12:28.286 1 nearest neighbour algorithm started
2005/01/11 05:12:28.607 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/11 05:15:02.708 1 nearest neighbour algorithm started
2005/01/11 05:15:02.928 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/11 05:15:47.312 1 nearest neighbour algorithm started
2005/01/11 05:15:49.495 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0.25

2005/01/11 05:21:56.743 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:22:34.928 AdaBoost algorithm --> finihed --> training error = 0.236842 test error = 0.333333

2005/01/11 05:30:21.750 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:30:45.864 AdaBoost algorithm --> finihed --> training error = 0.210526 test error = 0.583333

2005/01/11 05:30:52.424 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:30:56.850 AdaBoost algorithm --> finihed --> training error = 0.210526 test error = 0.583333

2005/01/11 05:31:04.441 1 nearest neighbour algorithm started
2005/01/11 05:31:05.322 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0.666667

2005/01/11 05:31:12.933 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:31:13.254 Real classification tree algorithm --> finished --> training error = 0.263158 test error = 0.25

2005/01/11 05:31:23.368 Real classification algorithm started MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:31:23.689 Real classification tree algorithm --> finished --> training error = 0.263158 test error = 0.25

2005/01/11 05:32:06.771 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:33:21.328 AdaBoost algorithm --> finihed --> training error = 0.254902 test error = 0

2005/01/11 05:34:11.911 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:34:21.334 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 0

2005/01/11 05:35:52.495 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:36:02.209 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 0

2005/01/11 05:36:06.726 1 nearest neighbour algorithm started
2005/01/11 05:36:07.817 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/11 05:36:14.477 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:36:23.670 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 0

2005/01/11 05:36:42.187 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:36:48.866 AdaBoost algorithm --> finihed --> training error = 0.100418 test error = 0

2005/01/11 05:36:57.348 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:37:03.708 AdaBoost algorithm --> finihed --> training error = 0.100418 test error = 0

2005/01/11 05:37:11.258 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:37:17.688 AdaBoost algorithm --> finihed --> training error = 0.100418 test error = 0

2005/01/11 05:37:33.450 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:37:36.765 AdaBoost algorithm --> finihed --> training error = 0.161111 test error = 0.186441

2005/01/11 05:44:53.924 AdaBoost algorithm started MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75
2005/01/11 05:45:09.346 AdaBoost algorithm --> finihed --> training error = 0.235294 test error = 0

2005/01/11 05:47:48.865 1 nearest neighbour algorithm started

2005/01/11 05:47:50.007 1 nearest neighbour algorithm --> finished --> training error = 0 test error = 0

2005/01/11 05:49:14.849 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 05:49:33.295 AdaBoost algorithm --> finihed --> training error = 0.254902 test error = 02005/01/11 05:50:16.608 1-nearest neighbour algorithm started

2005/01/11 05:50:17.669 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 05:50:48.664 1-nearest neighbour algorithm started

2005/01/11 05:50:49.836 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 05:50:51.538 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 05:50:51.868 Real classification tree algorithm --> finished --> training error = 0.27451 test error = 02005/01/11 18:25:04.258 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:25:24.818 AdaBoost algorithm --> finihed --> training error = 0.254902 test error = 02005/01/11 18:26:00.639 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:26:20.848 AdaBoost algorithm --> finihed --> training error = 0.254902 test error = 02005/01/11 18:53:25.985 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:53:37.181 AdaBoost algorithm --> finihed --> training error = 0.166667 test error = 02005/01/11 18:53:42.799 1-nearest neighbour algorithm started

2005/01/11 18:53:43.060 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 18:53:45.573 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:53:57.050 AdaBoost algorithm --> finihed --> training error = 0.166667 test error = 02005/01/11 18:54:01.506 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:54:01.847 Real classification tree algorithm --> finished --> training error = 0.166667 test error = 02005/01/11 18:54:20.023 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:54:30.518 AdaBoost algorithm --> finihed --> training error = 0.222222 test error = 02005/01/11 18:54:36.276 1-nearest neighbour algorithm started

2005/01/11 18:54:36.667 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 18:54:38.800 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:54:39.050 Real classification tree algorithm --> finished --> training error = 0.333333 test error = 02005/01/11 18:54:44.728 1-nearest neighbour algorithm started

2005/01/11 18:54:45.059 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 18:54:54.212 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:54:57.887 AdaBoost algorithm --> finihed --> training error = 0.285714 test error = 0.52005/01/11 18:55:02.163 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:55:02.494 Real classification tree algorithm --> finished --> training error = 0.285714 test error = 0.52005/01/11 18:55:20.530 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:55:29.733 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 02005/01/11 18:55:42.992 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:55:50.663 AdaBoost algorithm --> finihed --> training error = 0.184211 test error = 0.5833332005/01/11 18:55:58.604 1-nearest neighbour algorithm started

2005/01/11 18:55:59.536 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.4166672005/01/11 18:56:18.082 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:56:18.403 Real classification tree algorithm --> finished --> training error = 0.210526 test error = 0.52005/01/11 18:57:09.747 1-nearest neighbour algorithm started

2005/01/11 18:57:11.680 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 18:57:19.110 1-nearest neighbour algorithm started

2005/01/11 18:57:20.622 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/11 18:57:23.797 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 18:57:24.248 Real classification tree algorithm --> finished --> training error = 0.0151515 test error = 0.1904762005/01/11 18:57:31.158 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/11 19:00:02.715 AdaBoost algorithm --> finihed --> training error = 0 test error = 0.0476192005/01/14 02:49:51.749 1-nearest neighbour algorithm started

2005/01/14 02:49:52.690 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.252005/01/14 02:50:55.781 1-nearest neighbour algorithm started

2005/01/14 02:51:03.001 1-nearest neighbour algorithm --> finished --> training error = 0.0136612 test error = 02005/01/14 02:51:14.909 1-nearest neighbour algorithm started

2005/01/14 02:51:20.346 1-nearest neighbour algorithm --> finished --> training error = 0.0109091 test error = 0.5054952005/01/14 02:51:55.377 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/14 02:51:57.920 AdaBoost algorithm --> finihed --> training error = 0.403636 test error = 0.4945052005/01/14 02:52:06.663 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/14 02:52:07.054 Real classification tree algorithm --> finished --> training error = 0.429091 test error = 0.4725272005/01/14 02:52:49.264 1-nearest neighbour algorithm started

2005/01/14 02:52:50.236 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.4166672005/01/21 18:30:56.937 1-nearest neighbour algorithm started

2005/01/21 18:30:58.039 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/21 18:31:03.607 1-nearest neighbour algorithm started

2005/01/21 18:31:04.448 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.4166672005/01/21 18:31:15.735 1-nearest neighbour algorithm started

2005/01/21 18:31:20.622 1-nearest neighbour algorithm --> finished --> training error = 0.0041841 test error = 02005/01/21 18:31:22.925 1-nearest neighbour algorithm started

2005/01/21 18:31:26.610 1-nearest neighbour algorithm --> finished --> training error = 0.00555556 test error = 0.1355932005/01/21 18:32:09.993 1-nearest neighbour algorithm started

2005/01/21 18:32:14.269 1-nearest neighbour algorithm --> finished --> training error = 0.0380952 test error = 02005/01/21 18:32:23.382 1-nearest neighbour algorithm started

2005/01/21 18:32:26.666 1-nearest neighbour algorithm --> finished --> training error = 0.0506329 test error = 0.6538462005/01/21 18:32:41.137 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/21 18:32:41.458 Real classification tree algorithm --> finished --> training error = 0.405063 test error = 0.4230772005/01/21 18:33:03.209 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/21 18:33:03.530 Real classification tree algorithm --> finished --> training error = 0.289474 test error = 0.1666672005/01/21 18:33:10.419 1-nearest neighbour algorithm started

2005/01/21 18:33:11.281 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.4166672005/01/22 23:43:19.333 1-nearest neighbour algorithm started

2005/01/22 23:43:20.555 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/22 23:43:25.322 1-nearest neighbour algorithm started

2005/01/22 23:43:26.163 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.6666672005/01/22 23:43:33.503 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/22 23:43:33.804 Real classification tree algorithm --> finished --> training error = 0.263158 test error = 0.3333332005/01/22 23:43:55.485 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/22 23:44:03.847 AdaBoost algorithm --> finihed --> training error = 0.26 test error = 02005/01/22 23:44:21.152 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/22 23:44:32.919 AdaBoost algorithm --> finihed --> training error = 0.210526 test error = 0.4166672005/01/22 23:44:42.483 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/22 23:44:42.903 Real classification tree algorithm --> finished --> training error = 0.289474 test error = 0.1666672005/01/22 23:44:47.189 1-nearest neighbour algorithm started

2005/01/22 23:44:48.071 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.5833332005/01/23 00:54:12.579 1-nearest neighbour algorithm started

2005/01/23 00:54:13.640 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 02005/01/23 00:54:25.287 1-nearest neighbour algorithm started

2005/01/23 00:54:26.188 1-nearest neighbour algorithm --> finished --> training error = 0 test error = 0.6666672005/01/23 00:54:33.549 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:54:33.910 Real classification tree algorithm --> finished --> training error = 0.236842 test error = 0.3333332005/01/23 00:54:36.603 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:54:50.253 AdaBoost algorithm --> finihed --> training error = 0.236842 test error = 0.52005/01/23 00:56:11.480 1-nearest neighbour algorithm started

2005/01/23 00:56:16.507 1-nearest neighbour algorithm --> finished --> training error = 0.0109091 test error = 02005/01/23 00:56:17.128 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:56:17.469 Real classification tree algorithm --> finished --> training error = 0.429091 test error = 02005/01/23 00:56:37.748 1-nearest neighbour algorithm started

2005/01/23 00:56:41.543 1-nearest neighbour algorithm --> finished --> training error = 0.00966184 test error = 0.5588242005/01/23 00:56:46.050 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:56:46.490 Real classification tree algorithm --> finished --> training error = 0.381643 test error = 0.6029412005/01/23 00:56:49.034 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:56:52.329 AdaBoost algorithm --> finihed --> training error = 0.381643 test error = 0.5441182005/01/23 00:57:21.621 1-nearest neighbour algorithm started

2005/01/23 00:57:25.066 1-nearest neighbour algorithm --> finished --> training error = 0.00555556 test error = 0.06779662005/01/23 00:57:30.363 Real classification algorithm started...

	MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:57:30.694 Real classification tree algorithm --> finished --> training error = 0.322222 test error = 0.3559322005/01/23 00:57:35.130 AdaBoost algorithm started...

	MAX_ITERATIONS=400 MIN_RECT=5 TREE_CLASSIFICATION_STEP=75

2005/01/23 00:57:40.197 AdaBoost algorithm --> finihed --> training error = 0.166667 test error = 0.20339