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/adaboost/training_output.txt

https://bitbucket.org/jdelmerico/panoramic_classifier
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  1. did not specify errorGoal (-e) or specified negative goal
  2. setting to 0.05 (95% accuracy)
  3. mapping input label 0 to class 0
  4. mapping input label 255 to class 1
  5. WLS size 2 x and y
  6. WLS size 6 si2 means
  7. WLS size 426 si2 2box harrs 5
  8. WLS size 468 si2 3box harrs
  9. WLS size 693 si2 4box harrs
  10. WLS size after txt value 729
  11. WLS size after txt hist bin 1305
  12. WLS size 1308 r, g, and b values
  13. WLS size 1320 color means
  14. created a weak learner set with 1320 elements
  15. ********* BEGINNING TRAINING
  16. building a dataset with CacheAll
  17. reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0000.png
  18. reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0001.png
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  194. reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0097.png
  195. have the following classes
  196. label 0:N/A
  197. label 1:N/A
  198. building dataset with 2 classes
  199. contiguous: dataStep is 5280 (4*1320)
  200. Wanted 35600 sample, have 2 classes, taking 17800 per class (max a 178000)
  201. ****
  202. added a total of 35600 datums of a desired 35600
  203. for class 0:N/A, added 17800 (sanity 17800)
  204. for class 1:N/A, added 17800 (sanity 17800)
  205. selecting initial random subset -- trying to get 500 added
  206. initial bootstrap added 250,250 datums as active, total 500 of 35600
  207. beginning bootstrap iteration 1
  208. used 0->250 and 1->250. numberActive->500
  209. boosted classifier 0 --> mstump on si2-ylocation
  210. 6|mstump
  211. 13|si2-ylocation
  212. 1
  213. 0 489.394997 1
  214. 1
  215. 1 278.262489 -1
  216. 0
  217. 0
  218. 1
  219. 1 489.394997 1
  220. 0
  221. 0
  222. error is 0.202000 and beta is 0.253133 and alpha is 1.373841
  223. updating weights weight sum is 0.404000 renormalizing them
  224. full set accuracy after bootstrap it 1 is 0.774382 and desired is 0.950000
  225. added 890 and 890 to make a total of 1140 and 1140 (over 11221 attempts)
  226. beginning bootstrap iteration 2
  227. used 0->1140 and 1->1140. numberActive->2280
  228. boosted classifier 1 --> mstump on si2-ylocation
  229. 6|mstump
  230. 13|si2-ylocation
  231. 1
  232. 0 281.145524 1
  233. 1
  234. 1 278.266762 1
  235. 0
  236. 0
  237. 1
  238. 1 281.145524 1
  239. 0
  240. 0
  241. error is 0.162281 and beta is 0.193717 and alpha is 1.641356
  242. updating weights weight sum is 0.324561 renormalizing them
  243. full set accuracy after bootstrap it 2 is 0.496433 and desired is 0.950000
  244. added 890 and 890 to make a total of 2030 and 2030 (over 8151 attempts)
  245. beginning bootstrap iteration 3
  246. used 0->2030 and 1->2030. numberActive->4060
  247. boosted classifier 2 --> mstump on rgb2-colormean
  248. 6|mstump
  249. 14|rgb2-colormean
  250. 2
  251. 4
  252. -4 -4 4 4 1
  253. 1
  254. 0 94.620691 1
  255. 1
  256. 1 93.645442 1
  257. 0
  258. 0
  259. 1
  260. 1 94.620691 1
  261. 0
  262. 0
  263. error is 0.256897 and beta is 0.345708 and alpha is 1.062162
  264. updating weights weight sum is 0.513793 renormalizing them
  265. boosted classifier 3 --> mstump on si2-xlocation
  266. 6|mstump
  267. 13|si2-xlocation
  268. 1
  269. 0 840.740701 -1
  270. 1
  271. 1 258.364344 1
  272. 0
  273. 0
  274. 1
  275. 1 1264.174257 1
  276. 0
  277. 0
  278. error is 0.362928 and beta is 0.569681 and alpha is 0.562679
  279. updating weights weight sum is 0.725855 renormalizing them
  280. boosted classifier 4 --> mstump on rgb2-redvalue
  281. 6|mstump
  282. 13|rgb2-redvalue
  283. 1
  284. 0 80.716476 -1
  285. 1
  286. 1 0.222935 1
  287. 0
  288. 0
  289. 1
  290. 1 80.716476 -1
  291. 0
  292. 0
  293. error is 0.401562 and beta is 0.671018 and alpha is 0.398959
  294. updating weights weight sum is 0.803125 renormalizing them
  295. boosted classifier 5 --> mstump on rgb2-colormean
  296. 6|mstump
  297. 14|rgb2-colormean
  298. 2
  299. 1
  300. -1 -1 1 1 1
  301. 1
  302. 0 201.598435 1
  303. 1
  304. 1 15.531432 -1
  305. 0
  306. 0
  307. 1
  308. 1 202.183815 1
  309. 0
  310. 0
  311. error is 0.382707 and beta is 0.619976 and alpha is 0.478075
  312. updating weights weight sum is 0.765414 renormalizing them
  313. boosted classifier 6 --> mstump on rgb2-redvalue
  314. 6|mstump
  315. 13|rgb2-redvalue
  316. 1
  317. 0 252.436029 -1
  318. 1
  319. 1 5.477374 1
  320. 0
  321. 0
  322. 1
  323. 1 254.001181 -1
  324. 0
  325. 0
  326. error is 0.393157 and beta is 0.647873 and alpha is 0.434060
  327. updating weights weight sum is 0.786315 renormalizing them
  328. boosted classifier 7 --> mstump on rgb2-colormean
  329. 6|mstump
  330. 14|rgb2-colormean
  331. 2
  332. 2
  333. -2 -2 2 2 1
  334. 1
  335. 0 54.587601 1
  336. 1
  337. 1 4.454818 -1
  338. 0
  339. 0
  340. 1
  341. 1 54.587601 1
  342. 0
  343. 0
  344. error is 0.398596 and beta is 0.662775 and alpha is 0.411320
  345. updating weights weight sum is 0.797191 renormalizing them
  346. boosted classifier 8 --> mstump on si2-ylocation
  347. 6|mstump
  348. 13|si2-ylocation
  349. 1
  350. 0 468.676309 1
  351. 1
  352. 1 72.435275 -1
  353. 0
  354. 0
  355. 1
  356. 1 942.232666 -1
  357. 0
  358. 0
  359. error is 0.408559 and beta is 0.690787 and alpha is 0.369924
  360. updating weights weight sum is 0.817119 renormalizing them
  361. boosted classifier 9 --> mstump on rgb2-colormean
  362. 6|mstump
  363. 14|rgb2-colormean
  364. 2
  365. 4
  366. -4 -4 4 4 1
  367. 1
  368. 0 225.694135 1
  369. 1
  370. 1 94.620691 -1
  371. 0
  372. 0
  373. 1
  374. 1 229.372216 1
  375. 0
  376. 0
  377. error is 0.416123 and beta is 0.712690 and alpha is 0.338709
  378. updating weights weight sum is 0.832246 renormalizing them
  379. boosted classifier 10 --> mstump on rgb2-colormean
  380. 6|mstump
  381. 14|rgb2-colormean
  382. 2
  383. 2
  384. -2 -2 2 2 1
  385. 1
  386. 0 134.800053 1
  387. 1
  388. 1 127.837166 1
  389. 0
  390. 0
  391. 1
  392. 1 134.800053 1
  393. 0
  394. 0
  395. error is 0.417501 and beta is 0.716741 and alpha is 0.333040
  396. updating weights weight sum is 0.835002 renormalizing them
  397. boosted classifier 11 --> mstump on rgb2-colormean
  398. 6|mstump
  399. 14|rgb2-colormean
  400. 0
  401. 4
  402. -4 -4 4 4 1
  403. 1
  404. 0 105.011643 -1
  405. 1
  406. 1 3.739416 1
  407. 0
  408. 0
  409. 1
  410. 1 108.194724 -1
  411. 0
  412. 0
  413. error is 0.396432 and beta is 0.656815 and alpha is 0.420352
  414. updating weights weight sum is 0.792865 renormalizing them
  415. full set accuracy after bootstrap it 3 is 0.853118 and desired is 0.950000
  416. added 714 and 890 to make a total of 2744 and 2920 (over 35601 attempts)
  417. beginning bootstrap iteration 4
  418. used 0->2744 and 1->2920. numberActive->5664
  419. boosted classifier 12 --> mstump on si2-ylocation
  420. 6|mstump
  421. 13|si2-ylocation
  422. 1
  423. 0 350.235813 -1
  424. 1
  425. 1 15.579725 1
  426. 0
  427. 0
  428. 1
  429. 1 563.469830 1
  430. 0
  431. 0
  432. error is 0.376972 and beta is 0.605065 and alpha is 0.502419
  433. updating weights weight sum is 0.753945 renormalizing them
  434. boosted classifier 13 --> mstump on rgb2-colormean
  435. 6|mstump
  436. 14|rgb2-colormean
  437. 2
  438. 1
  439. -1 -1 1 1 1
  440. 1
  441. 0 115.965801 1
  442. 1
  443. 1 11.684653 -1
  444. 0
  445. 0
  446. 1
  447. 1 123.352731 1
  448. 0
  449. 0
  450. error is 0.386807 and beta is 0.630808 and alpha is 0.460753
  451. updating weights weight sum is 0.773614 renormalizing them
  452. boosted classifier 14 --> mstump on si2-xlocation
  453. 6|mstump
  454. 13|si2-xlocation
  455. 1
  456. 0 708.288367 -1
  457. 1
  458. 1 20.915941 1
  459. 0
  460. 0
  461. 1
  462. 1 708.288367 -1
  463. 0
  464. 0
  465. error is 0.395957 and beta is 0.655512 and alpha is 0.422338
  466. updating weights weight sum is 0.791915 renormalizing them
  467. boosted classifier 15 --> mstump on rgb2-colormean
  468. 6|mstump
  469. 14|rgb2-colormean
  470. 0
  471. 4
  472. -4 -4 4 4 1
  473. 1
  474. 0 67.484796 -1
  475. 1
  476. 1 12.339318 1
  477. 0
  478. 0
  479. 1
  480. 1 255.817074 1
  481. 0
  482. 0
  483. error is 0.416839 and beta is 0.714791 and alpha is 0.335765
  484. updating weights weight sum is 0.833677 renormalizing them
  485. boosted classifier 16 --> mstump on rgb2-colormean
  486. 6|mstump
  487. 14|rgb2-colormean
  488. 2
  489. 4
  490. -4 -4 4 4 1
  491. 1
  492. 0 65.196040 1
  493. 1
  494. 1 5.009254 -1
  495. 0
  496. 0
  497. 1
  498. 1 255.787527 -1
  499. 0
  500. 0
  501. error is 0.410929 and beta is 0.697588 and alpha is 0.360126
  502. updating weights weight sum is 0.821858 renormalizing them
  503. boosted classifier 17 --> mstump on rgb2-redvalue
  504. 6|mstump
  505. 13|rgb2-redvalue
  506. 1
  507. 0 252.436029 -1
  508. 1
  509. 1 5.477374 1
  510. 0
  511. 0
  512. 1
  513. 1 254.001181 -1
  514. 0
  515. 0
  516. error is 0.426595 and beta is 0.743969 and alpha is 0.295756
  517. updating weights weight sum is 0.853191 renormalizing them
  518. boosted classifier 18 --> mstump on rgb2-colormean
  519. 6|mstump
  520. 14|rgb2-colormean
  521. 2
  522. 3
  523. -3 -3 3 3 1
  524. 1
  525. 0 252.444542 1
  526. 1
  527. 1 19.398365 -1
  528. 0
  529. 0
  530. 1
  531. 1 252.444542 1
  532. 0
  533. 0
  534. error is 0.402838 and beta is 0.674588 and alpha is 0.393654
  535. updating weights weight sum is 0.805676 renormalizing them
  536. boosted classifier 19 --> mstump on rgb2-colormean
  537. 6|mstump
  538. 14|rgb2-colormean
  539. 0
  540. 4
  541. -4 -4 4 4 1
  542. 1
  543. 0 220.272673 -1
  544. 1
  545. 1 7.341323 1
  546. 0
  547. 0
  548. 1
  549. 1 255.063187 1
  550. 0
  551. 0
  552. error is 0.431406 and beta is 0.758723 and alpha is 0.276118
  553. updating weights weight sum is 0.862811 renormalizing them
  554. boosted classifier 20 --> mstump on rgb2-colormean
  555. 6|mstump
  556. 14|rgb2-colormean
  557. 2
  558. 4
  559. -4 -4 4 4 1
  560. 1
  561. 0 169.519801 1
  562. 1
  563. 1 0.996802 -1
  564. 0
  565. 0
  566. 1
  567. 1 169.519801 1
  568. 0
  569. 0
  570. error is 0.425417 and beta is 0.740393 and alpha is 0.300575
  571. updating weights weight sum is 0.850834 renormalizing them
  572. boosted classifier 21 --> mstump on rgb2-colormean
  573. 6|mstump
  574. 14|rgb2-colormean
  575. 0
  576. 3
  577. -3 -3 3 3 1
  578. 1
  579. 0 110.383187 -1
  580. 1
  581. 1 9.648833 1
  582. 0
  583. 0
  584. 1
  585. 1 110.383187 -1
  586. 0
  587. 0
  588. error is 0.429731 and beta is 0.753560 and alpha is 0.282947
  589. updating weights weight sum is 0.859463 renormalizing them
  590. boosted classifier 22 --> mstump on rgb2-colormean
  591. 6|mstump
  592. 14|rgb2-colormean
  593. 2
  594. 2
  595. -2 -2 2 2 1
  596. 1
  597. 0 75.977588 1
  598. 1
  599. 1 8.131222 -1
  600. 0
  601. 0
  602. 1
  603. 1 255.898574 -1
  604. 0
  605. 0
  606. error is 0.438416 and beta is 0.780677 and alpha is 0.247594
  607. updating weights weight sum is 0.876831 renormalizing them
  608. boosted classifier 23 --> mstump on si2-txtvalue
  609. 6|mstump
  610. 12|si2-txtvalue
  611. 22
  612. 1
  613. 0 2.424779 1
  614. 1
  615. 1 1.011351 1
  616. 0
  617. 0
  618. 1
  619. 1 59.014258 -1
  620. 0
  621. 0
  622. error is 0.441113 and beta is 0.789271 and alpha is 0.236646
  623. updating weights weight sum is 0.882226 renormalizing them
  624. boosted classifier 24 --> mstump on rgb2-colormean
  625. 6|mstump
  626. 14|rgb2-colormean
  627. 0
  628. 4
  629. -4 -4 4 4 1
  630. 1
  631. 0 72.845774 -1
  632. 1
  633. 1 68.322449 -1
  634. 0
  635. 0
  636. 1
  637. 1 72.845774 -1
  638. 0
  639. 0
  640. error is 0.437922 and beta is 0.779112 and alpha is 0.249601
  641. updating weights weight sum is 0.875843 renormalizing them
  642. boosted classifier 25 --> mstump on rgb2-colormean
  643. 6|mstump
  644. 14|rgb2-colormean
  645. 2
  646. 4
  647. -4 -4 4 4 1
  648. 1
  649. 0 46.471262 1
  650. 1
  651. 1 5.260033 -1
  652. 0
  653. 0
  654. 1
  655. 1 255.592478 -1
  656. 0
  657. 0
  658. error is 0.444584 and beta is 0.800452 and alpha is 0.222579
  659. updating weights weight sum is 0.889168 renormalizing them
  660. boosted classifier 26 --> mstump on si2-ylocation
  661. 6|mstump
  662. 13|si2-ylocation
  663. 1
  664. 0 468.676309 1
  665. 1
  666. 1 86.931899 -1
  667. 0
  668. 0
  669. 1
  670. 1 473.714142 1
  671. 0
  672. 0
  673. error is 0.439250 and beta is 0.783327 and alpha is 0.244206
  674. updating weights weight sum is 0.878500 renormalizing them
  675. boosted classifier 27 --> mstump on si2-txtvalue
  676. 6|mstump
  677. 12|si2-txtvalue
  678. 5
  679. 1
  680. 0 7.008335 -1
  681. 1
  682. 1 5.038585 -1
  683. 0
  684. 0
  685. 1
  686. 1 222.203450 1
  687. 0
  688. 0
  689. error is 0.441007 and beta is 0.788930 and alpha is 0.237078
  690. updating weights weight sum is 0.882013 renormalizing them
  691. boosted classifier 28 --> mstump on si2-txtvalue
  692. 6|mstump
  693. 12|si2-txtvalue
  694. 35
  695. 1
  696. 0 2.609720 1
  697. 1
  698. 1 1.032146 1
  699. 0
  700. 0
  701. 1
  702. 1 44.978851 -1
  703. 0
  704. 0
  705. error is 0.449965 and beta is 0.818067 and alpha is 0.200811
  706. updating weights weight sum is 0.899931 renormalizing them
  707. boosted classifier 29 --> mstump on si2-harr
  708. 6|mstump
  709. 8|si2-harr
  710. -1
  711. 2
  712. -5 -1 0 2 -1
  713. -5 2 0 5 1
  714. 1
  715. 0 46.350031 1
  716. 1
  717. 1 17.015295 1
  718. 0
  719. 0
  720. 1
  721. 1 3155.832058 -1
  722. 0
  723. 0
  724. error is 0.453135 and beta is 0.828604 and alpha is 0.188012
  725. updating weights weight sum is 0.906270 renormalizing them
  726. boosted classifier 30 --> mstump on si2-harr
  727. 6|mstump
  728. 8|si2-harr
  729. -1
  730. 2
  731. 0 -3 5 2 -1
  732. 0 2 5 5 1
  733. 1
  734. 0 -887.274104 1
  735. 1
  736. 1 -1460.495563 -1
  737. 0
  738. 0
  739. 1
  740. 1 -624.382883 1
  741. 0
  742. 0
  743. error is 0.455739 and beta is 0.837354 and alpha is 0.177508
  744. updating weights weight sum is 0.911478 renormalizing them
  745. boosted classifier 31 --> mstump on rgb2-colormean
  746. 6|mstump
  747. 14|rgb2-colormean
  748. 2
  749. 3
  750. -3 -3 3 3 1
  751. 1
  752. 0 241.747706 1
  753. 1
  754. 1 1.068890 -1
  755. 0
  756. 0
  757. 1
  758. 1 254.951613 1
  759. 0
  760. 0
  761. error is 0.450898 and beta is 0.821154 and alpha is 0.197044
  762. updating weights weight sum is 0.901795 renormalizing them
  763. boosted classifier 32 --> mstump on rgb2-colormean
  764. 6|mstump
  765. 14|rgb2-colormean
  766. 0
  767. 4
  768. -4 -4 4 4 1
  769. 1
  770. 0 190.787293 -1
  771. 1
  772. 1 4.437460 1
  773. 0
  774. 0
  775. 1
  776. 1 255.007343 1
  777. 0
  778. 0
  779. error is 0.429564 and beta is 0.753044 and alpha is 0.283632
  780. updating weights weight sum is 0.859127 renormalizing them
  781. boosted classifier 33 --> mstump on rgb2-colormean
  782. 6|mstump
  783. 14|rgb2-colormean
  784. 2
  785. 4
  786. -4 -4 4 4 1
  787. 1
  788. 0 132.070246 1
  789. 1
  790. 1 5.092847 -1
  791. 0
  792. 0
  793. 1
  794. 1 133.379866 1
  795. 0
  796. 0
  797. error is 0.435143 and beta is 0.770359 and alpha is 0.260899
  798. updating weights weight sum is 0.870285 renormalizing them
  799. boosted classifier 34 --> mstump on rgb2-colormean
  800. 6|mstump
  801. 14|rgb2-colormean
  802. 0
  803. 4
  804. -4 -4 4 4 1
  805. 1
  806. 0 147.899468 -1
  807. 1
  808. 1 5.079660 1
  809. 0
  810. 0
  811. 1
  812. 1 154.768221 -1
  813. 0
  814. 0
  815. error is 0.443130 and beta is 0.795750 and alpha is 0.228470
  816. updating weights weight sum is 0.886259 renormalizing them
  817. boosted classifier 35 --> mstump on rgb2-colormean
  818. 6|mstump
  819. 14|rgb2-colormean
  820. 2
  821. 2
  822. -2 -2 2 2 1
  823. 1
  824. 0 217.686253 1
  825. 1
  826. 1 7.880558 -1
  827. 0
  828. 0
  829. 1
  830. 1 222.281759 1
  831. 0
  832. 0
  833. error is 0.445640 and beta is 0.803880 and alpha is 0.218305
  834. updating weights weight sum is 0.891279 renormalizing them
  835. boosted classifier 36 --> mstump on si2-harr
  836. 6|mstump
  837. 8|si2-harr
  838. -1
  839. 4
  840. -3 -5 2 0 -1
  841. 2 -5 5 0 1
  842. -3 0 2 3 1
  843. 2 0 5 3 -1
  844. 1
  845. 0 -988.908662 1
  846. 1
  847. 1 -3418.989426 -1
  848. 0
  849. 0
  850. 1
  851. 1 -988.908662 1
  852. 0
  853. 0
  854. error is 0.441365 and beta is 0.790079 and alpha is 0.235622
  855. updating weights weight sum is 0.882731 renormalizing them
  856. boosted classifier 37 --> mstump on si2-xlocation
  857. 6|mstump
  858. 13|si2-xlocation
  859. 1
  860. 0 469.874165 1
  861. 1
  862. 1 25.606961 -1
  863. 0
  864. 0
  865. 1
  866. 1 966.432448 -1
  867. 0
  868. 0
  869. error is 0.448263 and beta is 0.812459 and alpha is 0.207690
  870. updating weights weight sum is 0.896527 renormalizing them
  871. boosted classifier 38 --> mstump on si2-harr
  872. 6|mstump
  873. 8|si2-harr
  874. -1
  875. 2
  876. 0 -5 5 -2 -1
  877. 0 -2 5 1 1
  878. 1
  879. 0 -37.138466 -1
  880. 1
  881. 1 -459.058776 1
  882. 0
  883. 0
  884. 1
  885. 1 55.932190 1
  886. 0
  887. 0
  888. error is 0.455064 and beta is 0.835077 and alpha is 0.180232
  889. updating weights weight sum is 0.910127 renormalizing them
  890. boosted classifier 39 --> mstump on si2-harr
  891. 6|mstump
  892. 8|si2-harr
  893. -1
  894. 4
  895. -5 -3 -2 0 -1
  896. -2 -3 1 0 1
  897. -5 0 -2 5 1
  898. -2 0 1 5 -1
  899. 1
  900. 0 14.264909 -1
  901. 1
  902. 1 -108.960880 1
  903. 0
  904. 0
  905. 1
  906. 1 340.128661 1
  907. 0
  908. 0
  909. error is 0.458854 and beta is 0.847929 and alpha is 0.164958
  910. updating weights weight sum is 0.917707 renormalizing them
  911. boosted classifier 40 --> mstump on si2-harr
  912. 6|mstump
  913. 8|si2-harr
  914. -1
  915. 2
  916. -5 -2 5 1 -1
  917. -5 2 5 5 1
  918. 1
  919. 0 -77.179306 -1
  920. 1
  921. 1 -508.334812 1
  922. 0
  923. 0
  924. 1
  925. 1 818.666023 1
  926. 0
  927. 0
  928. error is 0.456948 and beta is 0.841445 and alpha is 0.172634
  929. updating weights weight sum is 0.913897 renormalizing them
  930. boosted classifier 41 --> mstump on si2-harr
  931. 6|mstump
  932. 8|si2-harr
  933. -1
  934. 2
  935. -5 -5 -2 5 -1
  936. 1 -5 5 5 1
  937. 1
  938. 0 2927.527129 -1
  939. 1
  940. 1 -3480.681036 1
  941. 0
  942. 0
  943. 1
  944. 1 2927.527129 -1
  945. 0
  946. 0
  947. error is 0.454294 and beta is 0.832488 and alpha is 0.183337
  948. updating weights weight sum is 0.908588 renormalizing them
  949. boosted classifier 42 --> mstump on rgb2-colormean
  950. 6|mstump
  951. 14|rgb2-colormean
  952. 2
  953. 3
  954. -3 -3 3 3 1
  955. 1
  956. 0 241.747706 1
  957. 1
  958. 1 1.068890 -1
  959. 0
  960. 0
  961. 1
  962. 1 254.951613 1
  963. 0
  964. 0
  965. error is 0.447258 and beta is 0.809161 and alpha is 0.211757
  966. updating weights weight sum is 0.894515 renormalizing them
  967. boosted classifier 43 --> mstump on rgb2-colormean
  968. 6|mstump
  969. 14|rgb2-colormean
  970. 0
  971. 4
  972. -4 -4 4 4 1
  973. 1
  974. 0 244.397074 -1
  975. 1
  976. 1 5.554330 1
  977. 0
  978. 0
  979. 1
  980. 1 244.397074 -1
  981. 0
  982. 0
  983. error is 0.445099 and beta is 0.802122 and alpha is 0.220494
  984. updating weights weight sum is 0.890197 renormalizing them
  985. boosted classifier 44 --> mstump on rgb2-colormean
  986. 6|mstump
  987. 14|rgb2-colormean
  988. 2
  989. 4
  990. -4 -4 4 4 1
  991. 1
  992. 0 110.670500 1
  993. 1
  994. 1 8.993843 -1
  995. 0
  996. 0
  997. 1
  998. 1 112.203034 1
  999. 0
  1000. 0
  1001. error is 0.441356 and beta is 0.790048 and alpha is 0.235661
  1002. updating weights weight sum is 0.882712 renormalizing them
  1003. boosted classifier 45 --> mstump on si2-harr
  1004. 6|mstump
  1005. 8|si2-harr
  1006. -1
  1007. 2
  1008. 0 -3 5 2 -1
  1009. 0 2 5 5 1
  1010. 1
  1011. 0 -982.152139 1
  1012. 1
  1013. 1 -5826.861781 -1
  1014. 0
  1015. 0
  1016. 1
  1017. 1 2563.914405 -1
  1018. 0
  1019. 0
  1020. error is 0.449139 and beta is 0.815341 and alpha is 0.204149
  1021. updating weights weight sum is 0.898278 renormalizing them
  1022. boosted classifier 46 --> mstump on rgb2-colormean
  1023. 6|mstump
  1024. 14|rgb2-colormean
  1025. 2
  1026. 4
  1027. -4 -4 4 4 1
  1028. 1
  1029. 0 182.894643 1
  1030. 1
  1031. 1 72.998031 1
  1032. 0
  1033. 0
  1034. 1
  1035. 1 182.894643 1
  1036. 0
  1037. 0
  1038. error is 0.457767 and beta is 0.844227 and alpha is 0.169334
  1039. updating weights weight sum is 0.915535 renormalizing them
  1040. boosted classifier 47 --> mstump on rgb2-colormean
  1041. 6|mstump
  1042. 14|rgb2-colormean
  1043. 0
  1044. 1
  1045. -1 -1 1 1 1
  1046. 1
  1047. 0 48.519059 -1
  1048. 1
  1049. 1 6.259950 1
  1050. 0
  1051. 0
  1052. 1
  1053. 1 57.239193 -1
  1054. 0
  1055. 0
  1056. error is 0.452622 and beta is 0.826890 and alpha is 0.190084
  1057. updating weights weight sum is 0.905243 renormalizing them
  1058. boosted classifier 48 --> mstump on rgb2-bluevalue
  1059. 6|mstump
  1060. 14|rgb2-bluevalue
  1061. 1
  1062. 0 43.152823 1
  1063. 1
  1064. 1 5.141985 -1
  1065. 0
  1066. 0
  1067. 1
  1068. 1 255.566334 -1
  1069. 0
  1070. 0
  1071. error is 0.452257 and beta is 0.825674 and alpha is 0.191556
  1072. updating weights weight sum is 0.904514 renormalizing them
  1073. boosted classifier 49 --> mstump on rgb2-colormean
  1074. 6|mstump
  1075. 14|rgb2-colormean
  1076. 0
  1077. 3
  1078. -3 -3 3 3 1
  1079. 1
  1080. 0 40.695563 -1
  1081. 1
  1082. 1 39.439176 -1
  1083. 0
  1084. 0
  1085. 1
  1086. 1 42.957061 -1
  1087. 0
  1088. 0
  1089. error is 0.453413 and beta is 0.829535 and alpha is 0.186890
  1090. updating weights weight sum is 0.906826 renormalizing them
  1091. boosted classifier 50 --> mstump on rgb2-colormean
  1092. 6|mstump
  1093. 14|rgb2-colormean
  1094. 2
  1095. 4
  1096. -4 -4 4 4 1
  1097. 1
  1098. 0 41.121326 1
  1099. 1
  1100. 1 36.941688 1
  1101. 0
  1102. 0
  1103. 1
  1104. 1 41.121326 1
  1105. 0
  1106. 0
  1107. error is 0.459090 and beta is 0.848738 and alpha is 0.164005
  1108. updating weights weight sum is 0.918181 renormalizing them
  1109. boosted classifier 51 --> mstump on si2-ylocation
  1110. 6|mstump
  1111. 13|si2-ylocation
  1112. 1
  1113. 0 458.806267 1
  1114. 1
  1115. 1 4.784367 -1
  1116. 0
  1117. 0
  1118. 1
  1119. 1 489.650146 -1
  1120. 0
  1121. 0
  1122. error is 0.461807 and beta is 0.858070 and alpha is 0.153070
  1123. updating weights weight sum is 0.923614 renormalizing them
  1124. boosted classifier 52 --> mstump on si2-txthistbin
  1125. 6|mstump
  1126. 14|si2-txthistbin
  1127. 5 31 1
  1128. 1
  1129. 0 0.010274 -1
  1130. 1
  1131. 1 0.000071 -1
  1132. 0
  1133. 0
  1134. 1
  1135. 1 0.291762 1
  1136. 0
  1137. 0
  1138. error is 0.459055 and beta is 0.848617 and alpha is 0.164147
  1139. updating weights weight sum is 0.918110 renormalizing them
  1140. boosted classifier 53 --> mstump on si2-harr
  1141. 6|mstump
  1142. 8|si2-harr
  1143. -1
  1144. 2
  1145. -5 -5 0 -1 -1
  1146. -5 0 0 4 1
  1147. 1
  1148. 0 -95.739039 -1
  1149. 1
  1150. 1 -985.511750 1
  1151. 0
  1152. 0
  1153. 1
  1154. 1 74.952053 1
  1155. 0
  1156. 0
  1157. error is 0.459799 and beta is 0.851164 and alpha is 0.161151
  1158. updating weights weight sum is 0.919599 renormalizing them
  1159. boosted classifier 54 --> mstump on rgb2-colormean
  1160. 6|mstump
  1161. 14|rgb2-colormean
  1162. 2
  1163. 4
  1164. -4 -4 4 4 1
  1165. 1
  1166. 0 233.719039 1
  1167. 1
  1168. 1 0.996802 -1
  1169. 0
  1170. 0
  1171. 1
  1172. 1 237.480713 1
  1173. 0
  1174. 0
  1175. error is 0.462381 and beta is 0.860054 and alpha is 0.150760
  1176. updating weights weight sum is 0.924762 renormalizing them
  1177. boosted classifier 55 --> mstump on rgb2-colormean
  1178. 6|mstump
  1179. 14|rgb2-colormean
  1180. 0
  1181. 3
  1182. -3 -3 3 3 1
  1183. 1
  1184. 0 190.791984 -1
  1185. 1
  1186. 1 4.455765 1
  1187. 0
  1188. 0
  1189. 1
  1190. 1 191.489977 -1
  1191. 0
  1192. 0
  1193. error is 0.448679 and beta is 0.813826 and alpha is 0.206009
  1194. updating weights weight sum is 0.897358 renormalizing them
  1195. boosted classifier 56 --> mstump on rgb2-colormean
  1196. 6|mstump
  1197. 14|rgb2-colormean
  1198. 2
  1199. 3
  1200. -3 -3 3 3 1
  1201. 1
  1202. 0 153.498807 1
  1203. 1
  1204. 1 12.183572 -1
  1205. 0
  1206. 0
  1207. 1
  1208. 1 153.498807 1
  1209. 0
  1210. 0
  1211. error is 0.450716 and beta is 0.820550 and alpha is 0.197780
  1212. updating weights weight sum is 0.901431 renormalizing them
  1213. boosted classifier 57 --> mstump on rgb2-colormean
  1214. 6|mstump
  1215. 14|rgb2-colormean
  1216. 0
  1217. 4
  1218. -4 -4 4 4 1
  1219. 1
  1220. 0 105.011643 -1
  1221. 1
  1222. 1 3.739416 1
  1223. 0
  1224. 0
  1225. 1
  1226. 1 108.194724 -1
  1227. 0
  1228. 0
  1229. error is 0.456353 and beta is 0.839429 and alpha is 0.175034
  1230. updating weights weight sum is 0.912706 renormalizing them
  1231. boosted classifier 58 --> mstump on si2-harr
  1232. 6|mstump
  1233. 8|si2-harr
  1234. -1
  1235. 4
  1236. -5 -5 -2 -2 -1
  1237. 0 -5 5 -2 1
  1238. -5 0 -2 5 1
  1239. 0 0 5 5 -1
  1240. 1
  1241. 0 -303.005939 -1
  1242. 1
  1243. 1 -1315.973939 1
  1244. 0
  1245. 0
  1246. 1
  1247. 1 44.694747 1
  1248. 0
  1249. 0
  1250. error is 0.456108 and beta is 0.838602 and alpha is 0.176020
  1251. updating weights weight sum is 0.912217 renormalizing them
  1252. boosted classifier 59 --> mstump on si2-harr
  1253. 6|mstump
  1254. 8|si2-harr
  1255. -1
  1256. 4
  1257. -5 -3 0 2 -1
  1258. 0 -3 3 2 1
  1259. -5 2 0 5 1
  1260. 0 2 3 5 -1
  1261. 1
  1262. 0 -21.152418 -1
  1263. 1
  1264. 1 -992.659745 1
  1265. 0
  1266. 0
  1267. 1
  1268. 1 616.974500 1
  1269. 0
  1270. 0
  1271. error is 0.463273 and beta is 0.863145 and alpha is 0.147172
  1272. updating weights weight sum is 0.926546 renormalizing them
  1273. boosted classifier 60 --> mstump on rgb2-colormean
  1274. 6|mstump
  1275. 14|rgb2-colormean
  1276. 2
  1277. 3
  1278. -3 -3 3 3 1
  1279. 1
  1280. 0 241.747706 1
  1281. 1
  1282. 1 191.606286 1
  1283. 0
  1284. 0
  1285. 1
  1286. 1 243.753363 1
  1287. 0
  1288. 0
  1289. error is 0.460111 and beta is 0.852231 and alpha is 0.159897
  1290. updating weights weight sum is 0.920221 renormalizing them
  1291. boosted classifier 61 --> mstump on rgb2-colormean
  1292. 6|mstump
  1293. 14|rgb2-colormean
  1294. 0
  1295. 3
  1296. -3 -3 3 3 1
  1297. 1
  1298. 0 244.397849 -1
  1299. 1
  1300. 1 0.491165 1
  1301. 0
  1302. 0
  1303. 1
  1304. 1 244.397849 -1
  1305. 0
  1306. 0
  1307. error is 0.455183 and beta is 0.835480 and alpha is 0.179749
  1308. updating weights weight sum is 0.910367 renormalizing them
  1309. boosted classifier 62 --> mstump on rgb2-colormean
  1310. 6|mstump
  1311. 14|rgb2-colormean
  1312. 2
  1313. 3
  1314. -3 -3 3 3 1
  1315. 1
  1316. 0 241.747706 1
  1317. 1
  1318. 1 1.068890 -1
  1319. 0
  1320. 0
  1321. 1
  1322. 1 254.951613 1
  1323. 0
  1324. 0
  1325. error is 0.455876 and beta is 0.837817 and alpha is 0.176955
  1326. updating weights weight sum is 0.911753 renormalizing them
  1327. boosted classifier 63 --> mstump on si2-harr
  1328. 6|mstump
  1329. 8|si2-harr
  1330. -1
  1331. 2
  1332. -5 -4 0 -1 -1
  1333. -5 1 0 5 1
  1334. 1
  1335. 0 1527.927487 -1
  1336. 1
  1337. 1 -726.251000 1
  1338. 0
  1339. 0
  1340. 1
  1341. 1 2063.642745 1
  1342. 0
  1343. 0
  1344. error is 0.458407 and beta is 0.846406 and alpha is 0.166756
  1345. updating weights weight sum is 0.916814 renormalizing them
  1346. boosted classifier 64 --> mstump on si2-txthistbin
  1347. 6|mstump
  1348. 14|si2-txthistbin
  1349. 5 30 0
  1350. 1
  1351. 0 0.876524 -1
  1352. 1
  1353. 1 0.197897 1
  1354. 0
  1355. 0
  1356. 1
  1357. 1 0.876524 -1
  1358. 0
  1359. 0
  1360. error is 0.464817 and beta is 0.868519 and alpha is 0.140966
  1361. updating weights weight sum is 0.929633 renormalizing them
  1362. boosted classifier 65 --> mstump on si2-harr
  1363. 6|mstump
  1364. 8|si2-harr
  1365. -1
  1366. 4
  1367. -1 -5 2 -2 -1
  1368. 2 -5 5 -2 1
  1369. -1 -2 2 3 1
  1370. 2 -2 5 3 -1
  1371. 1
  1372. 0 83.394733 -1
  1373. 1
  1374. 1 -380.042036 1
  1375. 0
  1376. 0
  1377. 1
  1378. 1 647.388538 1
  1379. 0
  1380. 0
  1381. error is 0.461469 and beta is 0.856904 and alpha is 0.154429
  1382. updating weights weight sum is 0.922938 renormalizing them
  1383. boosted classifier 66 --> mstump on rgb2-colormean
  1384. 6|mstump
  1385. 14|rgb2-colormean
  1386. 2
  1387. 3
  1388. -3 -3 3 3 1
  1389. 1
  1390. 0 241.747706 1
  1391. 1
  1392. 1 1.068890 -1
  1393. 0
  1394. 0
  1395. 1
  1396. 1 250.773162 1
  1397. 0
  1398. 0
  1399. error is 0.465973 and beta is 0.872565 and alpha is 0.136318
  1400. updating weights weight sum is 0.931946 renormalizing them
  1401. boosted classifier 67 --> mstump on si2-harr
  1402. 6|mstump
  1403. 8|si2-harr
  1404. -1
  1405. 4
  1406. -5 -5 -2 2 -1
  1407. -2 -5 5 2 1
  1408. -5 2 -2 5 1
  1409. -2 2 5 5 -1
  1410. 1
  1411. 0 3028.562718 -1
  1412. 1
  1413. 1 2970.550161 -1
  1414. 0
  1415. 0
  1416. 1
  1417. 1 6173.583859 1
  1418. 0
  1419. 0
  1420. error is 0.460448 and beta is 0.853388 and alpha is 0.158540
  1421. updating weights weight sum is 0.920895 renormalizing them
  1422. boosted classifier 68 --> mstump on rgb2-colormean
  1423. 6|mstump
  1424. 14|rgb2-colormean
  1425. 2
  1426. 1
  1427. -1 -1 1 1 1
  1428. 1
  1429. 0 113.289781 1
  1430. 1
  1431. 1 112.119022 1
  1432. 0
  1433. 0
  1434. 1
  1435. 1 114.795042 1
  1436. 0
  1437. 0
  1438. error is 0.459554 and beta is 0.850322 and alpha is 0.162140
  1439. updating weights weight sum is 0.919107 renormalizing them
  1440. boosted classifier 69 --> mstump on rgb2-colormean
  1441. 6|mstump
  1442. 14|rgb2-colormean
  1443. 0
  1444. 3
  1445. -3 -3 3 3 1
  1446. 1
  1447. 0 86.260548 -1
  1448. 1
  1449. 1 85.367117 -1
  1450. 0
  1451. 0
  1452. 1
  1453. 1 86.260548 -1
  1454. 0
  1455. 0
  1456. error is 0.459661 and beta is 0.850690 and alpha is 0.161708
  1457. updating weights weight sum is 0.919322 renormalizing them
  1458. boosted classifier 70 --> mstump on si2-txtvalue
  1459. 6|mstump
  1460. 12|si2-txtvalue
  1461. 34
  1462. 1
  1463. 0 2.537798 1
  1464. 1
  1465. 1 0.017495 -1
  1466. 0
  1467. 0
  1468. 1
  1469. 1 120.992047 -1
  1470. 0
  1471. 0
  1472. error is 0.463115 and beta is 0.862598 and alpha is 0.147807
  1473. updating weights weight sum is 0.926231 renormalizing them
  1474. boosted classifier 71 --> mstump on si2-harr
  1475. 6|mstump
  1476. 8|si2-harr
  1477. -1
  1478. 2
  1479. -2 0 2 5 -1
  1480. 2 0 5 5 1
  1481. 1
  1482. 0 -732.606871 -1
  1483. 1
  1484. 1 -1241.661970 1
  1485. 0
  1486. 0
  1487. 1
  1488. 1 328.827167 1
  1489. 0
  1490. 0
  1491. error is 0.464957 and beta is 0.869009 and alpha is 0.140402
  1492. updating weights weight sum is 0.929914 renormalizing them
  1493. boosted classifier 72 --> mstump on si2-txtvalue
  1494. 6|mstump
  1495. 12|si2-txtvalue
  1496. 8
  1497. 1
  1498. 0 2.250113 -1
  1499. 1
  1500. 1 -2.413402 1
  1501. 0
  1502. 0
  1503. 1
  1504. 1 13.666008 1
  1505. 0
  1506. 0
  1507. error is 0.462880 and beta is 0.861781 and alpha is 0.148754
  1508. updating weights weight sum is 0.925760 renormalizing them
  1509. boosted classifier 73 --> mstump on si2-txtvalue
  1510. 6|mstump
  1511. 12|si2-txtvalue
  1512. 26
  1513. 1
  1514. 0 9.794198 1
  1515. 1
  1516. 1 0.016433 -1
  1517. 0
  1518. 0
  1519. 1
  1520. 1 208.823172 -1
  1521. 0
  1522. 0
  1523. error is 0.470828 and beta is 0.889745 and alpha is 0.116820
  1524. updating weights weight sum is 0.941656 renormalizing them
  1525. boosted classifier 74 --> mstump on rgb2-colormean
  1526. 6|mstump
  1527. 14|rgb2-colormean
  1528. 0
  1529. 3
  1530. -3 -3 3 3 1
  1531. 1
  1532. 0 48.736443 -1
  1533. 1
  1534. 1 3.506495 1
  1535. 0
  1536. 0
  1537. 1
  1538. 1 48.736443 -1
  1539. 0
  1540. 0
  1541. error is 0.466935 and beta is 0.875944 and alpha is 0.132453
  1542. updating weights weight sum is 0.933870 renormalizing them
  1543. boosted classifier 75 --> mstump on rgb2-colormean
  1544. 6|mstump
  1545. 14|rgb2-colormean
  1546. 2
  1547. 4
  1548. -4 -4 4 4 1
  1549. 1
  1550. 0 46.471262 1
  1551. 1
  1552. 1 5.260033 -1
  1553. 0
  1554. 0
  1555. 1
  1556. 1 46.471262 1
  1557. 0
  1558. 0
  1559. error is 0.463281 and beta is 0.863171 and alpha is 0.147142
  1560. updating weights weight sum is 0.926561 renormalizing them
  1561. boosted classifier 76 --> mstump on si2-harr
  1562. 6|mstump
  1563. 8|si2-harr
  1564. -1
  1565. 2
  1566. -5 -5 5 2 -1
  1567. -5 2 5 5 1
  1568. 1
  1569. 0 -3701.077791 1
  1570. 1
  1571. 1 -14302.921571 -1
  1572. 0
  1573. 0
  1574. 1
  1575. 1 -613.950866 -1
  1576. 0
  1577. 0
  1578. error is 0.466256 and beta is 0.873557 and alpha is 0.135182
  1579. updating weights weight sum is 0.932512 renormalizing them
  1580. boosted classifier 77 --> mstump on si2-harr
  1581. 6|mstump
  1582. 8|si2-harr
  1583. -1
  1584. 2
  1585. -5 0 -1 5 -1
  1586. 1 0 4 5 1
  1587. 1
  1588. 0 -486.379026 -1
  1589. 1
  1590. 1 -4205.534188 1
  1591. 0
  1592. 0
  1593. 1
  1594. 1 -100.844069 1
  1595. 0
  1596. 0
  1597. error is 0.464817 and beta is 0.868519 and alpha is 0.140966
  1598. updating weights weight sum is 0.929633 renormalizing them
  1599. boosted classifier 78 --> mstump on si2-harr
  1600. 6|mstump
  1601. 8|si2-harr
  1602. -1
  1603. 2
  1604. -5 -5 -1 0 -1
  1605. 2 -5 5 0 1
  1606. 1
  1607. 0 -266.869049 1
  1608. 1
  1609. 1 -1630.077559 -1
  1610. 0
  1611. 0
  1612. 1
  1613. 1 -157.812368 -1
  1614. 0
  1615. 0
  1616. error is 0.464184 and beta is 0.866311 and alpha is 0.143512
  1617. updating weights weight sum is 0.928367 renormalizing them
  1618. boosted classifier 79 --> mstump on si2-txthistbin
  1619. 6|mstump
  1620. 14|si2-txthistbin
  1621. 5 27 0
  1622. 1
  1623. 0 0.883353 1
  1624. 1
  1625. 1 0.240522 -1
  1626. 0
  1627. 0
  1628. 1
  1629. 1 0.883353 1
  1630. 0
  1631. 0
  1632. error is 0.461533 and beta is 0.857124 and alpha is 0.154173
  1633. updating weights weight sum is 0.923066 renormalizing them
  1634. boosted classifier 80 --> mstump on si2-harr
  1635. 6|mstump
  1636. 8|si2-harr
  1637. -1
  1638. 2
  1639. -5 -5 -2 0 -1
  1640. -1 -5 2 0 1
  1641. 1
  1642. 0 36.210307 1
  1643. 1
  1644. 1 -242.349515 -1
  1645. 0
  1646. 0
  1647. 1
  1648. 1 170.898573 -1
  1649. 0
  1650. 0
  1651. error is 0.465668 and beta is 0.871497 and alpha is 0.137542
  1652. updating weights weight sum is 0.931337 renormalizing them
  1653. boosted classifier 81 --> mstump on si2-harr
  1654. 6|mstump
  1655. 8|si2-harr
  1656. -1
  1657. 4
  1658. -5 -5 2 -2 -1
  1659. 2 -5 5 -2 1
  1660. -5 0 2 5 1
  1661. 2 0 5 5 -1
  1662. 1
  1663. 0 268.160446 1
  1664. 1
  1665. 1 140.522685 -1
  1666. 0
  1667. 0
  1668. 1
  1669. 1 2086.438727 -1
  1670. 0
  1671. 0
  1672. error is 0.470314 and beta is 0.887912 and alpha is 0.118882
  1673. updating weights weight sum is 0.940629 renormalizing them
  1674. boosted classifier 82 --> mstump on rgb2-colormean
  1675. 6|mstump
  1676. 14|rgb2-colormean
  1677. 0
  1678. 3
  1679. -3 -3 3 3 1
  1680. 1
  1681. 0 40.695563 -1
  1682. 1
  1683. 1 39.439176 -1
  1684. 0
  1685. 0
  1686. 1
  1687. 1 40.695563 -1
  1688. 0
  1689. 0
  1690. error is 0.465937 and beta is 0.872437 and alpha is 0.136465
  1691. updating weights weight sum is 0.931873 renormalizing them
  1692. boosted classifier 83 --> mstump on si2-harr
  1693. 6|mstump
  1694. 8|si2-harr
  1695. -1
  1696. 2
  1697. -3 -5 0 5 -1
  1698. 0 -5 5 5 1
  1699. 1
  1700. 0 764.690834 1
  1701. 1
  1702. 1 206.080567 -1
  1703. 0
  1704. 0
  1705. 1
  1706. 1 5738.982255 -1
  1707. 0
  1708. 0
  1709. error is 0.465395 and beta is 0.870540 and alpha is 0.138642
  1710. updating weights weight sum is 0.930790 renormalizing them
  1711. boosted classifier 84 --> mstump on si2-harr
  1712. 6|mstump
  1713. 8|si2-harr
  1714. -1
  1715. 4
  1716. -5 -5 -2 0 -1
  1717. -2 -5 3 0 1
  1718. -5 2 -2 5 1
  1719. -2 2 3 5 -1
  1720. 1
  1721. 0 180.140303 -1
  1722. 1
  1723. 1 60.486016 1
  1724. 0
  1725. 0
  1726. 1
  1727. 1 2024.810563 1
  1728. 0
  1729. 0
  1730. error is 0.465501 and beta is 0.870910 and alpha is 0.138216
  1731. updating weights weight sum is 0.931002 renormalizing them
  1732. boosted classifier 85 --> mstump on si2-harr
  1733. 6|mstump
  1734. 8|si2-harr
  1735. -1
  1736. 2
  1737. -3 -5 0 0 -1
  1738. 1 -5 5 0 1
  1739. 1
  1740. 0 336.414742 1
  1741. 1
  1742. 1 90.229347 -1
  1743. 0
  1744. 0
  1745. 1
  1746. 1 1623.612665 -1
  1747. 0
  1748. 0
  1749. error is 0.466716 and beta is 0.875172 and alpha is 0.133335
  1750. updating weights weight sum is 0.933431 renormalizing them
  1751. boosted classifier 86 --> mstump on si2-harr
  1752. 6|mstump
  1753. 8|si2-harr
  1754. -1
  1755. 2
  1756. 0 -1 5 2 -1
  1757. 0 2 5 5 1
  1758. 1
  1759. 0 -71.683500 -1
  1760. 1
  1761. 1 -610.862456 1
  1762. 0
  1763. 0
  1764. 1
  1765. 1 96.809924 1
  1766. 0
  1767. 0
  1768. error is 0.469739 and beta is 0.885862 and alpha is 0.121194
  1769. updating weights weight sum is 0.939477 renormalizing them
  1770. boosted classifier 87 --> mstump on si2-txthistbin
  1771. 6|mstump
  1772. 14|si2-txthistbin
  1773. 5 24 0
  1774. 1
  1775. 0 0.968531 1
  1776. 1
  1777. 1 0.162442 -1
  1778. 0
  1779. 0
  1780. 1
  1781. 1 1.000029 -1
  1782. 0
  1783. 0
  1784. error is 0.463575 and beta is 0.864194 and alpha is 0.145958
  1785. updating weights weight sum is 0.927150 renormalizing them
  1786. boosted classifier 88 --> mstump on si2-harr
  1787. 6|mstump
  1788. 8|si2-harr
  1789. -1
  1790. 3
  1791. -5 -5 5 -2 -1
  1792. -5 -2 5 1 2
  1793. -5 1 5 4 -1
  1794. 1
  1795. 0 -26.364044 -1
  1796. 1
  1797. 1 -3485.765609 1
  1798. 0
  1799. 0
  1800. 1
  1801. 1 190.464544 1
  1802. 0
  1803. 0
  1804. error is 0.467676 and beta is 0.878555 and alpha is 0.129477
  1805. updating weights weight sum is 0.935352 renormalizing them
  1806. boosted classifier 89 --> mstump on rgb2-colormean
  1807. 6|mstump
  1808. 14|rgb2-colormean
  1809. 2
  1810. 3
  1811. -3 -3 3 3 1
  1812. 1
  1813. 0 241.747706 1
  1814. 1
  1815. 1 1.068890 -1
  1816. 0
  1817. 0
  1818. 1
  1819. 1 241.747706 1
  1820. 0
  1821. 0
  1822. error is 0.471191 and beta is 0.891042 and alpha is 0.115364
  1823. updating weights weight sum is 0.942382 renormalizing them
  1824. boosted classifier 90 --> mstump on rgb2-colormean
  1825. 6|mstump
  1826. 14|rgb2-colormean
  1827. 0
  1828. 4
  1829. -4 -4 4 4 1
  1830. 1
  1831. 0 161.301913 -1
  1832. 1
  1833. 1 7.173792 1
  1834. 0
  1835. 0
  1836. 1
  1837. 1 161.301913 -1
  1838. 0
  1839. 0
  1840. error is 0.459620 and beta is 0.850551 and alpha is 0.161871
  1841. updating weights weight sum is 0.919241 renormalizing them
  1842. boosted classifier 91 --> mstump on rgb2-colormean
  1843. 6|mstump
  1844. 14|rgb2-colormean
  1845. 2
  1846. 4
  1847. -4 -4 4 4 1
  1848. 1
  1849. 0 102.645595 1
  1850. 1
  1851. 1 5.232168 -1
  1852. 0
  1853. 0
  1854. 1
  1855. 1 256.177627 -1
  1856. 0
  1857. 0
  1858. error is 0.460985 and beta is 0.855235 and alpha is 0.156379
  1859. updating weights weight sum is 0.921969 renormalizing them
  1860. boosted classifier 92 --> mstump on si2-txtvalue
  1861. 6|mstump
  1862. 12|si2-txtvalue
  1863. 19
  1864. 1
  1865. 0 33.268125 -1
  1866. 1
  1867. 1 0.337820 1
  1868. 0
  1869. 0
  1870. 1
  1871. 1 52.994233 1
  1872. 0
  1873. 0
  1874. error is 0.463097 and beta is 0.862532 and alpha is 0.147883
  1875. updating weights weight sum is 0.926193 renormalizing them
  1876. boosted classifier 93 --> mstump on si2-harr
  1877. 6|mstump
  1878. 8|si2-harr
  1879. -1
  1880. 2
  1881. -5 -5 5 -1 -1
  1882. -5 2 5 5 1
  1883. 1
  1884. 0 -657.483771 1
  1885. 1
  1886. 1 -11941.357920 -1
  1887. 0
  1888. 0
  1889. 1
  1890. 1 -85.306190 -1
  1891. 0
  1892. 0
  1893. error is 0.467225 and beta is 0.876963 and alpha is 0.131290
  1894. updating weights weight sum is 0.934449 renormalizing them
  1895. boosted classifier 94 --> mstump on si2-harr
  1896. 6|mstump
  1897. 8|si2-harr
  1898. -1
  1899. 4
  1900. -5 -3 -2 0 -1
  1901. 0 -3 3 0 1
  1902. -5 0 -2 3 1
  1903. 0 0 3 3 -1
  1904. 1
  1905. 0 -36.964286 1
  1906. 1
  1907. 1 -1227.491436 -1
  1908. 0
  1909. 0
  1910. 1
  1911. 1 -13.514508 1
  1912. 0
  1913. 0
  1914. error is 0.467971 and beta is 0.879598 and alpha is 0.128290
  1915. updating weights weight sum is 0.935943 renormalizing them
  1916. boosted classifier 95 --> mstump on rgb2-colormean
  1917. 6|mstump
  1918. 14|rgb2-colormean
  1919. 2
  1920. 4
  1921. -4 -4 4 4 1
  1922. 1
  1923. 0 182.894643 1
  1924. 1
  1925. 1 4.786340 -1
  1926. 0
  1927. 0
  1928. 1
  1929. 1 182.894643 1
  1930. 0
  1931. 0
  1932. error is 0.467848 and beta is 0.879164 and alpha is 0.128784
  1933. updating weights weight sum is 0.935697 renormalizing them
  1934. boosted classifier 96 --> mstump on rgb2-colormean
  1935. 6|mstump
  1936. 14|rgb2-colormean
  1937. 0
  1938. 4
  1939. -4 -4 4 4 1
  1940. 1
  1941. 0 212.231205 -1
  1942. 1
  1943. 1 4.884208 1
  1944. 0
  1945. 0
  1946. 1
  1947. 1 220.775264 -1
  1948. 0
  1949. 0
  1950. error is 0.461774 and beta is 0.857957 and alpha is 0.153201
  1951. updating weights weight sum is 0.923549 renormalizing them
  1952. boosted classifier 97 --> mstump on rgb2-colormean
  1953. 6|mstump
  1954. 14|rgb2-colormean
  1955. 2
  1956. 3
  1957. -3 -3 3 3 1
  1958. 1
  1959. 0 241.747706 1
  1960. 1
  1961. 1 1.068890 -1
  1962. 0
  1963. 0
  1964. 1
  1965. 1 255.118752 -1
  1966. 0
  1967. 0
  1968. error is 0.465201 and beta is 0.869861 and alpha is 0.139422
  1969. updating weights weight sum is 0.930402 renormalizing them
  1970. boosted classifier 98 --> mstump on si2-harr
  1971. 6|mstump
  1972. 8|si2-harr
  1973. -1
  1974. 2
  1975. -2 -5 1 0 -1
  1976. 1 -5 5 0 1
  1977. 1
  1978. 0 1144.237918 -1
  1979. 1
  1980. 1 -630.308267 1
  1981. 0
  1982. 0
  1983. 1
  1984. 1 2256.790279 1
  1985. 0
  1986. 0
  1987. error is 0.467021 and beta is 0.876245 and alpha is 0.132109
  1988. updating weights weight sum is 0.934041 renormalizing them
  1989. boosted classifier 99 --> mstump on si2-harr
  1990. 6|mstump
  1991. 8|si2-harr
  1992. -1
  1993. 2
  1994. -5 -3 0 1 -1
  1995. -5 2 0 5 1
  1996. 1
  1997. 0 -771.938281 -1
  1998. 1
  1999. 1 -1685.675721 1
  2000. 0
  2001. 0
  2002. 1
  2003. 1 367.187728 1
  2004. 0
  2005. 0
  2006. error is 0.464949 and beta is 0.868980 and alpha is 0.140436
  2007. updating weights weight sum is 0.929897 renormalizing them
  2008. boosted classifier 100 --> mstump on rgb2-colormean
  2009. 6|mstump
  2010. 14|rgb2-colormean
  2011. 0
  2012. 4
  2013. -4 -4 4 4 1
  2014. 1
  2015. 0 142.538490 -1
  2016. 1
  2017. 1 16.750956 1
  2018. 0
  2019. 0
  2020. 1
  2021. 1 147.341033 -1
  2022. 0
  2023. 0
  2024. error is 0.469860 and beta is 0.886295 and alpha is 0.120706
  2025. updating weights weight sum is 0.939720 renormalizing them
  2026. boosted classifier 101 --> mstump on si2-harr
  2027. 6|mstump
  2028. 8|si2-harr
  2029. -1
  2030. 3
  2031. -5 0 -1 5 -1
  2032. -1 0 2 5 2
  2033. 2 0 5 5 -1
  2034. 1
  2035. 0 -592.363497 -1
  2036. 1
  2037. 1 -1543.101170 1
  2038. 0
  2039. 0
  2040. 1
  2041. 1 -80.952351 1
  2042. 0
  2043. 0
  2044. error is 0.468469 and beta is 0.881358 and alpha is 0.126292
  2045. updating weights weight sum is 0.936938 renormalizing them
  2046. boosted classifier 102 --> mstump on si2-txtvalue
  2047. 6|mstump
  2048. 12|si2-txtvalue
  2049. 7
  2050. 1
  2051. 0 6.945196 -1
  2052. 1
  2053. 1 0.015583 1
  2054. 0
  2055. 0
  2056. 1
  2057. 1 155.102289 1
  2058. 0
  2059. 0
  2060. error is 0.470272 and beta is 0.887760 and alpha is 0.119054
  2061. updating weights weight sum is 0.940543 renormalizing them
  2062. boosted classifier 103 --> mstump on si2-harr
  2063. 6|mstump
  2064. 8|si2-harr
  2065. -1
  2066. 2
  2067. -5 -5 5 -2 -1
  2068. -5 0 5 3 1
  2069. 1
  2070. 0 -270.781082 -1
  2071. 1
  2072. 1 -3521.044954 1
  2073. 0
  2074. 0
  2075. 1
  2076. 1 43.981314 1
  2077. 0
  2078. 0
  2079. error is 0.471946 and beta is 0.893747 and alpha is 0.112333
  2080. updating weights weight sum is 0.943893 renormalizing them
  2081. boosted classifier 104 --> mstump on si2-harr
  2082. 6|mstump
  2083. 8|si2-harr
  2084. -1
  2085. 4
  2086. -3 -5 2 -2 -1
  2087. 2 -5 5 -2 1
  2088. -3 0 2 3 1
  2089. 2 0 5 3 -1
  2090. 1
  2091. 0 15.049390 -1
  2092. 1
  2093. 1 -701.109548 1
  2094. 0
  2095. 0
  2096. 1
  2097. 1 562.836017 1
  2098. 0
  2099. 0
  2100. error is 0.466853 and beta is 0.875657 and alpha is 0.132781
  2101. updating weights weight sum is 0.933707 renormalizing them
  2102. boosted classifier 105 --> mstump on si2-ylocation
  2103. 6|mstump
  2104. 13|si2-ylocation
  2105. 1
  2106. 0 547.636639 1
  2107. 1
  2108. 1 202.699258 -1
  2109. 0
  2110. 0
  2111. 1
  2112. 1 943.877672 -1
  2113. 0
  2114. 0
  2115. error is 0.470053 and beta is 0.886982 and alpha is 0.119930
  2116. updating weights weight sum is 0.940107 renormalizing them
  2117. boosted classifier 106 --> mstump on si2-ylocation
  2118. 6|mstump
  2119. 13|si2-ylocation
  2120. 1
  2121. 0 281.145524 1
  2122. 1
  2123. 1 278.266762 1
  2124. 0
  2125. 0
  2126. 1
  2127. 1 490.883902 -1
  2128. 0
  2129. 0
  2130. error is 0.467223 and beta is 0.876959 and alpha is 0.131295
  2131. updating weights weight sum is 0.934447 renormalizing them
  2132. boosted classifier 107 --> mstump on si2-txtvalue
  2133. 6|mstump
  2134. 12|si2-txtvalue
  2135. 2
  2136. 1
  2137. 0 2.578896 -1
  2138. 1
  2139. 1 -2.766045 1
  2140. 0
  2141. 0
  2142. 1
  2143. 1 31.363633 1
  2144. 0
  2145. 0
  2146. error is 0.470504 and beta is 0.888590 and alpha is 0.118120
  2147. updating weights weight sum is 0.941009 renormalizing them
  2148. boosted classifier 108 --> mstump on rgb2-colormean
  2149. 6|mstump
  2150. 14|rgb2-colormean
  2151. 0
  2152. 3
  2153. -3 -3 3 3 1
  2154. 1
  2155. 0 48.736443 -1
  2156. 1
  2157. 1 3.506495 1
  2158. 0
  2159. 0
  2160. 1
  2161. 1 48.736443 -1
  2162. 0
  2163. 0
  2164. error is 0.472353 and beta is 0.895205 and alpha is 0.110703
  2165. updating weights weight sum is 0.944705 renormalizing them
  2166. boosted classifier 109 --> mstump on si2-harr
  2167. 6|mstump
  2168. 8|si2-harr
  2169. -1
  2170. 4
  2171. -5 -5 2 -2 -1
  2172. 2 -5 5 -2 1
  2173. -5 -2 2 5 1
  2174. 2 -2 5 5 -1
  2175. 1
  2176. 0 529.752192 1
  2177. 1
  2178. 1 59.135154 -1
  2179. 0
  2180. 0
  2181. 1
  2182. 1 4153.503387 -1
  2183. 0
  2184. 0
  2185. error is 0.470466 and beta is 0.888455 and alpha is 0.118272
  2186. updating weights weight sum is 0.940933 renormalizing them
  2187. boosted classifier 110 --> mstump on si2-txtvalue
  2188. 6|mstump
  2189. 12|si2-txtvalue
  2190. 3
  2191. 1
  2192. 0 11.788597 -1
  2193. 1
  2194. 1 3.033194 1
  2195. 0
  2196. 0
  2197. 1
  2198. 1 38.499995 1
  2199. 0
  2200. 0
  2201. error is 0.471309 and beta is 0.891465 and alpha is 0.114889
  2202. updating weights weight sum is 0.942619 renormalizing them
  2203. boosted classifier 111 --> mstump on si2-harr
  2204. 6|mstump
  2205. 8|si2-harr
  2206. -1
  2207. 3
  2208. -5 0 -2 5 -1
  2209. -2 0 1 5 2
  2210. 1 0 4 5 -1
  2211. 1
  2212. 0 -69.311537 1
  2213. 1
  2214. 1 -3746.971977 -1
  2215. 0
  2216. 0
  2217. 1
  2218. 1 -41.947992 1
  2219. 0
  2220. 0
  2221. error is 0.470893 and beta is 0.889976 and alpha is 0.116561
  2222. updating weights weight sum is 0.941786 renormalizing them
  2223. boosted classifier 112 --> mstump on si2-ylocation
  2224. 6|mstump
  2225. 13|si2-ylocation
  2226. 1
  2227. 0 547.636639 1
  2228. 1
  2229. 1 4.784367 -1
  2230. 0
  2231. 0
  2232. 1
  2233. 1 547.636639 1
  2234. 0
  2235. 0
  2236. error is 0.468112 and beta is 0.880097 and alpha is 0.127724
  2237. updating weights weight sum is 0.936225 renormalizing them
  2238. boosted classifier 113 --> mstump on si2-xlocation
  2239. 6|mstump
  2240. 13|si2-xlocation
  2241. 1
  2242. 0 933.457335 -1
  2243. 1
  2244. 1 6.290996 1
  2245. 0
  2246. 0
  2247. 1
  2248. 1 1209.675641 1
  2249. 0
  2250. 0
  2251. error is 0.468375 and beta is 0.881025 and alpha is 0.126669
  2252. updating weights weight sum is 0.936750 renormalizing them
  2253. boosted classifier 114 --> mstump on si2-txtvalue
  2254. 6|mstump
  2255. 12|si2-txtvalue
  2256. 12
  2257. 1
  2258. 0 10.216361 1
  2259. 1
  2260. 1 2.030145 -1
  2261. 0
  2262. 0
  2263. 1
  2264. 1 139.665937 -1
  2265. 0
  2266. 0
  2267. error is 0.471690 and beta is 0.892827 and alpha is 0.113362
  2268. updating weights weight sum is 0.943380 renormalizing them
  2269. boosted classifier 115 --> mstump on si2-txthistbin
  2270. 6|mstump
  2271. 14|si2-txthistbin
  2272. 5 26 1
  2273. 1
  2274. 0 0.106100 1
  2275. 1
  2276. 1 0.100000 1
  2277. 0
  2278. 0
  2279. 1
  2280. 1 0.850856 -1
  2281. 0
  2282. 0
  2283. error is 0.473024 and beta is 0.8

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