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/adaboost/training_output.txt

https://bitbucket.org/jdelmerico/panoramic_classifier
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   1did not specify errorGoal (-e) or specified negative goal
   2 setting to 0.05 (95% accuracy)
   3mapping input label 0 to class 0
   4mapping input label 255 to class 1
   5WLS size 2	x and y
   6WLS size 6	 si2 means
   7WLS size 426	 si2 2box harrs 5
   8WLS size 468	 si2 3box harrs
   9WLS size 693	 si2 4box harrs
  10WLS size after txt value 729
  11WLS size after txt hist bin 1305
  12WLS size 1308	 r, g, and b values
  13WLS size 1320	 color means
  14created a weak learner set with 1320 elements
  15
  16
  17*********  BEGINNING TRAINING  
  18
  19building a dataset with CacheAll
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 198have the following classes
 199label 0:N/A
 200label 1:N/A
 201building dataset with 2 classes
 202contiguous: dataStep is 5280 (4*1320)
 203Wanted 35600 sample, have 2 classes, taking 17800 per class (max a 178000)
 204
 205
 206****
 207added a total of 35600 datums of a desired 35600
 208for class 0:N/A, added 17800 (sanity 17800)
 209for class 1:N/A, added 17800 (sanity 17800)
 210selecting initial random subset -- trying to get 500 added
 211initial bootstrap added 250,250 datums as active, total 500 of 35600
 212beginning bootstrap iteration 1
 213used 0->250 and 1->250.  numberActive->500
 214boosted classifier 0 --> mstump on si2-ylocation
 2156|mstump
 21613|si2-ylocation
 2171
 2180 489.394997 1
 2191
 2201 278.262489 -1
 2210
 2220
 2231
 2241 489.394997 1
 2250
 2260
 227error is 0.202000 and beta is 0.253133 and alpha is 1.373841
 228updating weights	weight sum is 0.404000	renormalizing them
 229full set accuracy after bootstrap it 1 is 0.774382 and desired is 0.950000
 230added 890 and 890 to make a total of 1140 and 1140 (over 11221 attempts)
 231beginning bootstrap iteration 2
 232used 0->1140 and 1->1140.  numberActive->2280
 233boosted classifier 1 --> mstump on si2-ylocation
 2346|mstump
 23513|si2-ylocation
 2361
 2370 281.145524 1
 2381
 2391 278.266762 1
 2400
 2410
 2421
 2431 281.145524 1
 2440
 2450
 246error is 0.162281 and beta is 0.193717 and alpha is 1.641356
 247updating weights	weight sum is 0.324561	renormalizing them
 248full set accuracy after bootstrap it 2 is 0.496433 and desired is 0.950000
 249added 890 and 890 to make a total of 2030 and 2030 (over 8151 attempts)
 250beginning bootstrap iteration 3
 251used 0->2030 and 1->2030.  numberActive->4060
 252boosted classifier 2 --> mstump on rgb2-colormean
 2536|mstump
 25414|rgb2-colormean
 2552
 2564
 257-4 -4 4 4 1
 2581
 2590 94.620691 1
 2601
 2611 93.645442 1
 2620
 2630
 2641
 2651 94.620691 1
 2660
 2670
 268error is 0.256897 and beta is 0.345708 and alpha is 1.062162
 269updating weights	weight sum is 0.513793	renormalizing them
 270boosted classifier 3 --> mstump on si2-xlocation
 2716|mstump
 27213|si2-xlocation
 2731
 2740 840.740701 -1
 2751
 2761 258.364344 1
 2770
 2780
 2791
 2801 1264.174257 1
 2810
 2820
 283error is 0.362928 and beta is 0.569681 and alpha is 0.562679
 284updating weights	weight sum is 0.725855	renormalizing them
 285boosted classifier 4 --> mstump on rgb2-redvalue
 2866|mstump
 28713|rgb2-redvalue
 2881
 2890 80.716476 -1
 2901
 2911 0.222935 1
 2920
 2930
 2941
 2951 80.716476 -1
 2960
 2970
 298error is 0.401562 and beta is 0.671018 and alpha is 0.398959
 299updating weights	weight sum is 0.803125	renormalizing them
 300boosted classifier 5 --> mstump on rgb2-colormean
 3016|mstump
 30214|rgb2-colormean
 3032
 3041
 305-1 -1 1 1 1
 3061
 3070 201.598435 1
 3081
 3091 15.531432 -1
 3100
 3110
 3121
 3131 202.183815 1
 3140
 3150
 316error is 0.382707 and beta is 0.619976 and alpha is 0.478075
 317updating weights	weight sum is 0.765414	renormalizing them
 318boosted classifier 6 --> mstump on rgb2-redvalue
 3196|mstump
 32013|rgb2-redvalue
 3211
 3220 252.436029 -1
 3231
 3241 5.477374 1
 3250
 3260
 3271
 3281 254.001181 -1
 3290
 3300
 331error is 0.393157 and beta is 0.647873 and alpha is 0.434060
 332updating weights	weight sum is 0.786315	renormalizing them
 333boosted classifier 7 --> mstump on rgb2-colormean
 3346|mstump
 33514|rgb2-colormean
 3362
 3372
 338-2 -2 2 2 1
 3391
 3400 54.587601 1
 3411
 3421 4.454818 -1
 3430
 3440
 3451
 3461 54.587601 1
 3470
 3480
 349error is 0.398596 and beta is 0.662775 and alpha is 0.411320
 350updating weights	weight sum is 0.797191	renormalizing them
 351boosted classifier 8 --> mstump on si2-ylocation
 3526|mstump
 35313|si2-ylocation
 3541
 3550 468.676309 1
 3561
 3571 72.435275 -1
 3580
 3590
 3601
 3611 942.232666 -1
 3620
 3630
 364error is 0.408559 and beta is 0.690787 and alpha is 0.369924
 365updating weights	weight sum is 0.817119	renormalizing them
 366boosted classifier 9 --> mstump on rgb2-colormean
 3676|mstump
 36814|rgb2-colormean
 3692
 3704
 371-4 -4 4 4 1
 3721
 3730 225.694135 1
 3741
 3751 94.620691 -1
 3760
 3770
 3781
 3791 229.372216 1
 3800
 3810
 382error is 0.416123 and beta is 0.712690 and alpha is 0.338709
 383updating weights	weight sum is 0.832246	renormalizing them
 384boosted classifier 10 --> mstump on rgb2-colormean
 3856|mstump
 38614|rgb2-colormean
 3872
 3882
 389-2 -2 2 2 1
 3901
 3910 134.800053 1
 3921
 3931 127.837166 1
 3940
 3950
 3961
 3971 134.800053 1
 3980
 3990
 400error is 0.417501 and beta is 0.716741 and alpha is 0.333040
 401updating weights	weight sum is 0.835002	renormalizing them
 402boosted classifier 11 --> mstump on rgb2-colormean
 4036|mstump
 40414|rgb2-colormean
 4050
 4064
 407-4 -4 4 4 1
 4081
 4090 105.011643 -1
 4101
 4111 3.739416 1
 4120
 4130
 4141
 4151 108.194724 -1
 4160
 4170
 418error is 0.396432 and beta is 0.656815 and alpha is 0.420352
 419updating weights	weight sum is 0.792865	renormalizing them
 420full set accuracy after bootstrap it 3 is 0.853118 and desired is 0.950000
 421added 714 and 890 to make a total of 2744 and 2920 (over 35601 attempts)
 422beginning bootstrap iteration 4
 423used 0->2744 and 1->2920.  numberActive->5664
 424boosted classifier 12 --> mstump on si2-ylocation
 4256|mstump
 42613|si2-ylocation
 4271
 4280 350.235813 -1
 4291
 4301 15.579725 1
 4310
 4320
 4331
 4341 563.469830 1
 4350
 4360
 437error is 0.376972 and beta is 0.605065 and alpha is 0.502419
 438updating weights	weight sum is 0.753945	renormalizing them
 439boosted classifier 13 --> mstump on rgb2-colormean
 4406|mstump
 44114|rgb2-colormean
 4422
 4431
 444-1 -1 1 1 1
 4451
 4460 115.965801 1
 4471
 4481 11.684653 -1
 4490
 4500
 4511
 4521 123.352731 1
 4530
 4540
 455error is 0.386807 and beta is 0.630808 and alpha is 0.460753
 456updating weights	weight sum is 0.773614	renormalizing them
 457boosted classifier 14 --> mstump on si2-xlocation
 4586|mstump
 45913|si2-xlocation
 4601
 4610 708.288367 -1
 4621
 4631 20.915941 1
 4640
 4650
 4661
 4671 708.288367 -1
 4680
 4690
 470error is 0.395957 and beta is 0.655512 and alpha is 0.422338
 471updating weights	weight sum is 0.791915	renormalizing them
 472boosted classifier 15 --> mstump on rgb2-colormean
 4736|mstump
 47414|rgb2-colormean
 4750
 4764
 477-4 -4 4 4 1
 4781
 4790 67.484796 -1
 4801
 4811 12.339318 1
 4820
 4830
 4841
 4851 255.817074 1
 4860
 4870
 488error is 0.416839 and beta is 0.714791 and alpha is 0.335765
 489updating weights	weight sum is 0.833677	renormalizing them
 490boosted classifier 16 --> mstump on rgb2-colormean
 4916|mstump
 49214|rgb2-colormean
 4932
 4944
 495-4 -4 4 4 1
 4961
 4970 65.196040 1
 4981
 4991 5.009254 -1
 5000
 5010
 5021
 5031 255.787527 -1
 5040
 5050
 506error is 0.410929 and beta is 0.697588 and alpha is 0.360126
 507updating weights	weight sum is 0.821858	renormalizing them
 508boosted classifier 17 --> mstump on rgb2-redvalue
 5096|mstump
 51013|rgb2-redvalue
 5111
 5120 252.436029 -1
 5131
 5141 5.477374 1
 5150
 5160
 5171
 5181 254.001181 -1
 5190
 5200
 521error is 0.426595 and beta is 0.743969 and alpha is 0.295756
 522updating weights	weight sum is 0.853191	renormalizing them
 523boosted classifier 18 --> mstump on rgb2-colormean
 5246|mstump
 52514|rgb2-colormean
 5262
 5273
 528-3 -3 3 3 1
 5291
 5300 252.444542 1
 5311
 5321 19.398365 -1
 5330
 5340
 5351
 5361 252.444542 1
 5370
 5380
 539error is 0.402838 and beta is 0.674588 and alpha is 0.393654
 540updating weights	weight sum is 0.805676	renormalizing them
 541boosted classifier 19 --> mstump on rgb2-colormean
 5426|mstump
 54314|rgb2-colormean
 5440
 5454
 546-4 -4 4 4 1
 5471
 5480 220.272673 -1
 5491
 5501 7.341323 1
 5510
 5520
 5531
 5541 255.063187 1
 5550
 5560
 557error is 0.431406 and beta is 0.758723 and alpha is 0.276118
 558updating weights	weight sum is 0.862811	renormalizing them
 559boosted classifier 20 --> mstump on rgb2-colormean
 5606|mstump
 56114|rgb2-colormean
 5622
 5634
 564-4 -4 4 4 1
 5651
 5660 169.519801 1
 5671
 5681 0.996802 -1
 5690
 5700
 5711
 5721 169.519801 1
 5730
 5740
 575error is 0.425417 and beta is 0.740393 and alpha is 0.300575
 576updating weights	weight sum is 0.850834	renormalizing them
 577boosted classifier 21 --> mstump on rgb2-colormean
 5786|mstump
 57914|rgb2-colormean
 5800
 5813
 582-3 -3 3 3 1
 5831
 5840 110.383187 -1
 5851
 5861 9.648833 1
 5870
 5880
 5891
 5901 110.383187 -1
 5910
 5920
 593error is 0.429731 and beta is 0.753560 and alpha is 0.282947
 594updating weights	weight sum is 0.859463	renormalizing them
 595boosted classifier 22 --> mstump on rgb2-colormean
 5966|mstump
 59714|rgb2-colormean
 5982
 5992
 600-2 -2 2 2 1
 6011
 6020 75.977588 1
 6031
 6041 8.131222 -1
 6050
 6060
 6071
 6081 255.898574 -1
 6090
 6100
 611error is 0.438416 and beta is 0.780677 and alpha is 0.247594
 612updating weights	weight sum is 0.876831	renormalizing them
 613boosted classifier 23 --> mstump on si2-txtvalue
 6146|mstump
 61512|si2-txtvalue
 61622
 6171
 6180 2.424779 1
 6191
 6201 1.011351 1
 6210
 6220
 6231
 6241 59.014258 -1
 6250
 6260
 627error is 0.441113 and beta is 0.789271 and alpha is 0.236646
 628updating weights	weight sum is 0.882226	renormalizing them
 629boosted classifier 24 --> mstump on rgb2-colormean
 6306|mstump
 63114|rgb2-colormean
 6320
 6334
 634-4 -4 4 4 1
 6351
 6360 72.845774 -1
 6371
 6381 68.322449 -1
 6390
 6400
 6411
 6421 72.845774 -1
 6430
 6440
 645error is 0.437922 and beta is 0.779112 and alpha is 0.249601
 646updating weights	weight sum is 0.875843	renormalizing them
 647boosted classifier 25 --> mstump on rgb2-colormean
 6486|mstump
 64914|rgb2-colormean
 6502
 6514
 652-4 -4 4 4 1
 6531
 6540 46.471262 1
 6551
 6561 5.260033 -1
 6570
 6580
 6591
 6601 255.592478 -1
 6610
 6620
 663error is 0.444584 and beta is 0.800452 and alpha is 0.222579
 664updating weights	weight sum is 0.889168	renormalizing them
 665boosted classifier 26 --> mstump on si2-ylocation
 6666|mstump
 66713|si2-ylocation
 6681
 6690 468.676309 1
 6701
 6711 86.931899 -1
 6720
 6730
 6741
 6751 473.714142 1
 6760
 6770
 678error is 0.439250 and beta is 0.783327 and alpha is 0.244206
 679updating weights	weight sum is 0.878500	renormalizing them
 680boosted classifier 27 --> mstump on si2-txtvalue
 6816|mstump
 68212|si2-txtvalue
 6835
 6841
 6850 7.008335 -1
 6861
 6871 5.038585 -1
 6880
 6890
 6901
 6911 222.203450 1
 6920
 6930
 694error is 0.441007 and beta is 0.788930 and alpha is 0.237078
 695updating weights	weight sum is 0.882013	renormalizing them
 696boosted classifier 28 --> mstump on si2-txtvalue
 6976|mstump
 69812|si2-txtvalue
 69935
 7001
 7010 2.609720 1
 7021
 7031 1.032146 1
 7040
 7050
 7061
 7071 44.978851 -1
 7080
 7090
 710error is 0.449965 and beta is 0.818067 and alpha is 0.200811
 711updating weights	weight sum is 0.899931	renormalizing them
 712boosted classifier 29 --> mstump on si2-harr
 7136|mstump
 7148|si2-harr
 715-1
 7162
 717-5 -1 0 2 -1
 718-5 2 0 5 1
 7191
 7200 46.350031 1
 7211
 7221 17.015295 1
 7230
 7240
 7251
 7261 3155.832058 -1
 7270
 7280
 729error is 0.453135 and beta is 0.828604 and alpha is 0.188012
 730updating weights	weight sum is 0.906270	renormalizing them
 731boosted classifier 30 --> mstump on si2-harr
 7326|mstump
 7338|si2-harr
 734-1
 7352
 7360 -3 5 2 -1
 7370 2 5 5 1
 7381
 7390 -887.274104 1
 7401
 7411 -1460.495563 -1
 7420
 7430
 7441
 7451 -624.382883 1
 7460
 7470
 748error is 0.455739 and beta is 0.837354 and alpha is 0.177508
 749updating weights	weight sum is 0.911478	renormalizing them
 750boosted classifier 31 --> mstump on rgb2-colormean
 7516|mstump
 75214|rgb2-colormean
 7532
 7543
 755-3 -3 3 3 1
 7561
 7570 241.747706 1
 7581
 7591 1.068890 -1
 7600
 7610
 7621
 7631 254.951613 1
 7640
 7650
 766error is 0.450898 and beta is 0.821154 and alpha is 0.197044
 767updating weights	weight sum is 0.901795	renormalizing them
 768boosted classifier 32 --> mstump on rgb2-colormean
 7696|mstump
 77014|rgb2-colormean
 7710
 7724
 773-4 -4 4 4 1
 7741
 7750 190.787293 -1
 7761
 7771 4.437460 1
 7780
 7790
 7801
 7811 255.007343 1
 7820
 7830
 784error is 0.429564 and beta is 0.753044 and alpha is 0.283632
 785updating weights	weight sum is 0.859127	renormalizing them
 786boosted classifier 33 --> mstump on rgb2-colormean
 7876|mstump
 78814|rgb2-colormean
 7892
 7904
 791-4 -4 4 4 1
 7921
 7930 132.070246 1
 7941
 7951 5.092847 -1
 7960
 7970
 7981
 7991 133.379866 1
 8000
 8010
 802error is 0.435143 and beta is 0.770359 and alpha is 0.260899
 803updating weights	weight sum is 0.870285	renormalizing them
 804boosted classifier 34 --> mstump on rgb2-colormean
 8056|mstump
 80614|rgb2-colormean
 8070
 8084
 809-4 -4 4 4 1
 8101
 8110 147.899468 -1
 8121
 8131 5.079660 1
 8140
 8150
 8161
 8171 154.768221 -1
 8180
 8190
 820error is 0.443130 and beta is 0.795750 and alpha is 0.228470
 821updating weights	weight sum is 0.886259	renormalizing them
 822boosted classifier 35 --> mstump on rgb2-colormean
 8236|mstump
 82414|rgb2-colormean
 8252
 8262
 827-2 -2 2 2 1
 8281
 8290 217.686253 1
 8301
 8311 7.880558 -1
 8320
 8330
 8341
 8351 222.281759 1
 8360
 8370
 838error is 0.445640 and beta is 0.803880 and alpha is 0.218305
 839updating weights	weight sum is 0.891279	renormalizing them
 840boosted classifier 36 --> mstump on si2-harr
 8416|mstump
 8428|si2-harr
 843-1
 8444
 845-3 -5 2 0 -1
 8462 -5 5 0 1
 847-3 0 2 3 1
 8482 0 5 3 -1
 8491
 8500 -988.908662 1
 8511
 8521 -3418.989426 -1
 8530
 8540
 8551
 8561 -988.908662 1
 8570
 8580
 859error is 0.441365 and beta is 0.790079 and alpha is 0.235622
 860updating weights	weight sum is 0.882731	renormalizing them
 861boosted classifier 37 --> mstump on si2-xlocation
 8626|mstump
 86313|si2-xlocation
 8641
 8650 469.874165 1
 8661
 8671 25.606961 -1
 8680
 8690
 8701
 8711 966.432448 -1
 8720
 8730
 874error is 0.448263 and beta is 0.812459 and alpha is 0.207690
 875updating weights	weight sum is 0.896527	renormalizing them
 876boosted classifier 38 --> mstump on si2-harr
 8776|mstump
 8788|si2-harr
 879-1
 8802
 8810 -5 5 -2 -1
 8820 -2 5 1 1
 8831
 8840 -37.138466 -1
 8851
 8861 -459.058776 1
 8870
 8880
 8891
 8901 55.932190 1
 8910
 8920
 893error is 0.455064 and beta is 0.835077 and alpha is 0.180232
 894updating weights	weight sum is 0.910127	renormalizing them
 895boosted classifier 39 --> mstump on si2-harr
 8966|mstump
 8978|si2-harr
 898-1
 8994
 900-5 -3 -2 0 -1
 901-2 -3 1 0 1
 902-5 0 -2 5 1
 903-2 0 1 5 -1
 9041
 9050 14.264909 -1
 9061
 9071 -108.960880 1
 9080
 9090
 9101
 9111 340.128661 1
 9120
 9130
 914error is 0.458854 and beta is 0.847929 and alpha is 0.164958
 915updating weights	weight sum is 0.917707	renormalizing them
 916boosted classifier 40 --> mstump on si2-harr
 9176|mstump
 9188|si2-harr
 919-1
 9202
 921-5 -2 5 1 -1
 922-5 2 5 5 1
 9231
 9240 -77.179306 -1
 9251
 9261 -508.334812 1
 9270
 9280
 9291
 9301 818.666023 1
 9310
 9320
 933error is 0.456948 and beta is 0.841445 and alpha is 0.172634
 934updating weights	weight sum is 0.913897	renormalizing them
 935boosted classifier 41 --> mstump on si2-harr
 9366|mstump
 9378|si2-harr
 938-1
 9392
 940-5 -5 -2 5 -1
 9411 -5 5 5 1
 9421
 9430 2927.527129 -1
 9441
 9451 -3480.681036 1
 9460
 9470
 9481
 9491 2927.527129 -1
 9500
 9510
 952error is 0.454294 and beta is 0.832488 and alpha is 0.183337
 953updating weights	weight sum is 0.908588	renormalizing them
 954boosted classifier 42 --> mstump on rgb2-colormean
 9556|mstump
 95614|rgb2-colormean
 9572
 9583
 959-3 -3 3 3 1
 9601
 9610 241.747706 1
 9621
 9631 1.068890 -1
 9640
 9650
 9661
 9671 254.951613 1
 9680
 9690
 970error is 0.447258 and beta is 0.809161 and alpha is 0.211757
 971updating weights	weight sum is 0.894515	renormalizing them
 972boosted classifier 43 --> mstump on rgb2-colormean
 9736|mstump
 97414|rgb2-colormean
 9750
 9764
 977-4 -4 4 4 1
 9781
 9790 244.397074 -1
 9801
 9811 5.554330 1
 9820
 9830
 9841
 9851 244.397074 -1
 9860
 9870
 988error is 0.445099 and beta is 0.802122 and alpha is 0.220494
 989updating weights	weight sum is 0.890197	renormalizing them
 990boosted classifier 44 --> mstump on rgb2-colormean
 9916|mstump
 99214|rgb2-colormean
 9932
 9944
 995-4 -4 4 4 1
 9961
 9970 110.670500 1
 9981
 9991 8.993843 -1
10000
10010
10021
10031 112.203034 1
10040
10050
1006error is 0.441356 and beta is 0.790048 and alpha is 0.235661
1007updating weights	weight sum is 0.882712	renormalizing them
1008boosted classifier 45 --> mstump on si2-harr
10096|mstump
10108|si2-harr
1011-1
10122
10130 -3 5 2 -1
10140 2 5 5 1
10151
10160 -982.152139 1
10171
10181 -5826.861781 -1
10190
10200
10211
10221 2563.914405 -1
10230
10240
1025error is 0.449139 and beta is 0.815341 and alpha is 0.204149
1026updating weights	weight sum is 0.898278	renormalizing them
1027boosted classifier 46 --> mstump on rgb2-colormean
10286|mstump
102914|rgb2-colormean
10302
10314
1032-4 -4 4 4 1
10331
10340 182.894643 1
10351
10361 72.998031 1
10370
10380
10391
10401 182.894643 1
10410
10420
1043error is 0.457767 and beta is 0.844227 and alpha is 0.169334
1044updating weights	weight sum is 0.915535	renormalizing them
1045boosted classifier 47 --> mstump on rgb2-colormean
10466|mstump
104714|rgb2-colormean
10480
10491
1050-1 -1 1 1 1
10511
10520 48.519059 -1
10531
10541 6.259950 1
10550
10560
10571
10581 57.239193 -1
10590
10600
1061error is 0.452622 and beta is 0.826890 and alpha is 0.190084
1062updating weights	weight sum is 0.905243	renormalizing them
1063boosted classifier 48 --> mstump on rgb2-bluevalue
10646|mstump
106514|rgb2-bluevalue
10661
10670 43.152823 1
10681
10691 5.141985 -1
10700
10710
10721
10731 255.566334 -1
10740
10750
1076error is 0.452257 and beta is 0.825674 and alpha is 0.191556
1077updating weights	weight sum is 0.904514	renormalizing them
1078boosted classifier 49 --> mstump on rgb2-colormean
10796|mstump
108014|rgb2-colormean
10810
10823
1083-3 -3 3 3 1
10841
10850 40.695563 -1
10861
10871 39.439176 -1
10880
10890
10901
10911 42.957061 -1
10920
10930
1094error is 0.453413 and beta is 0.829535 and alpha is 0.186890
1095updating weights	weight sum is 0.906826	renormalizing them
1096boosted classifier 50 --> mstump on rgb2-colormean
10976|mstump
109814|rgb2-colormean
10992
11004
1101-4 -4 4 4 1
11021
11030 41.121326 1
11041
11051 36.941688 1
11060
11070
11081
11091 41.121326 1
11100
11110
1112error is 0.459090 and beta is 0.848738 and alpha is 0.164005
1113updating weights	weight sum is 0.918181	renormalizing them
1114boosted classifier 51 --> mstump on si2-ylocation
11156|mstump
111613|si2-ylocation
11171
11180 458.806267 1
11191
11201 4.784367 -1
11210
11220
11231
11241 489.650146 -1
11250
11260
1127error is 0.461807 and beta is 0.858070 and alpha is 0.153070
1128updating weights	weight sum is 0.923614	renormalizing them
1129boosted classifier 52 --> mstump on si2-txthistbin
11306|mstump
113114|si2-txthistbin
11325 31 1
11331
11340 0.010274 -1
11351
11361 0.000071 -1
11370
11380
11391
11401 0.291762 1
11410
11420
1143error is 0.459055 and beta is 0.848617 and alpha is 0.164147
1144updating weights	weight sum is 0.918110	renormalizing them
1145boosted classifier 53 --> mstump on si2-harr
11466|mstump
11478|si2-harr
1148-1
11492
1150-5 -5 0 -1 -1
1151-5 0 0 4 1
11521
11530 -95.739039 -1
11541
11551 -985.511750 1
11560
11570
11581
11591 74.952053 1
11600
11610
1162error is 0.459799 and beta is 0.851164 and alpha is 0.161151
1163updating weights	weight sum is 0.919599	renormalizing them
1164boosted classifier 54 --> mstump on rgb2-colormean
11656|mstump
116614|rgb2-colormean
11672
11684
1169-4 -4 4 4 1
11701
11710 233.719039 1
11721
11731 0.996802 -1
11740
11750
11761
11771 237.480713 1
11780
11790
1180error is 0.462381 and beta is 0.860054 and alpha is 0.150760
1181updating weights	weight sum is 0.924762	renormalizing them
1182boosted classifier 55 --> mstump on rgb2-colormean
11836|mstump
118414|rgb2-colormean
11850
11863
1187-3 -3 3 3 1
11881
11890 190.791984 -1
11901
11911 4.455765 1
11920
11930
11941
11951 191.489977 -1
11960
11970
1198error is 0.448679 and beta is 0.813826 and alpha is 0.206009
1199updating weights	weight sum is 0.897358	renormalizing them
1200boosted classifier 56 --> mstump on rgb2-colormean
12016|mstump
120214|rgb2-colormean
12032
12043
1205-3 -3 3 3 1
12061
12070 153.498807 1
12081
12091 12.183572 -1
12100
12110
12121
12131 153.498807 1
12140
12150
1216error is 0.450716 and beta is 0.820550 and alpha is 0.197780
1217updating weights	weight sum is 0.901431	renormalizing them
1218boosted classifier 57 --> mstump on rgb2-colormean
12196|mstump
122014|rgb2-colormean
12210
12224
1223-4 -4 4 4 1
12241
12250 105.011643 -1
12261
12271 3.739416 1
12280
12290
12301
12311 108.194724 -1
12320
12330
1234error is 0.456353 and beta is 0.839429 and alpha is 0.175034
1235updating weights	weight sum is 0.912706	renormalizing them
1236boosted classifier 58 --> mstump on si2-harr
12376|mstump
12388|si2-harr
1239-1
12404
1241-5 -5 -2 -2 -1
12420 -5 5 -2 1
1243-5 0 -2 5 1
12440 0 5 5 -1
12451
12460 -303.005939 -1
12471
12481 -1315.973939 1
12490
12500
12511
12521 44.694747 1
12530
12540
1255error is 0.456108 and beta is 0.838602 and alpha is 0.176020
1256updating weights	weight sum is 0.912217	renormalizing them
1257boosted classifier 59 --> mstump on si2-harr
12586|mstump
12598|si2-harr
1260-1
12614
1262-5 -3 0 2 -1
12630 -3 3 2 1
1264-5 2 0 5 1
12650 2 3 5 -1
12661
12670 -21.152418 -1
12681
12691 -992.659745 1
12700
12710
12721
12731 616.974500 1
12740
12750
1276error is 0.463273 and beta is 0.863145 and alpha is 0.147172
1277updating weights	weight sum is 0.926546	renormalizing them
1278boosted classifier 60 --> mstump on rgb2-colormean
12796|mstump
128014|rgb2-colormean
12812
12823
1283-3 -3 3 3 1
12841
12850 241.747706 1
12861
12871 191.606286 1
12880
12890
12901
12911 243.753363 1
12920
12930
1294error is 0.460111 and beta is 0.852231 and alpha is 0.159897
1295updating weights	weight sum is 0.920221	renormalizing them
1296boosted classifier 61 --> mstump on rgb2-colormean
12976|mstump
129814|rgb2-colormean
12990
13003
1301-3 -3 3 3 1
13021
13030 244.397849 -1
13041
13051 0.491165 1
13060
13070
13081
13091 244.397849 -1
13100
13110
1312error is 0.455183 and beta is 0.835480 and alpha is 0.179749
1313updating weights	weight sum is 0.910367	renormalizing them
1314boosted classifier 62 --> mstump on rgb2-colormean
13156|mstump
131614|rgb2-colormean
13172
13183
1319-3 -3 3 3 1
13201
13210 241.747706 1
13221
13231 1.068890 -1
13240
13250
13261
13271 254.951613 1
13280
13290
1330error is 0.455876 and beta is 0.837817 and alpha is 0.176955
1331updating weights	weight sum is 0.911753	renormalizing them
1332boosted classifier 63 --> mstump on si2-harr
13336|mstump
13348|si2-harr
1335-1
13362
1337-5 -4 0 -1 -1
1338-5 1 0 5 1
13391
13400 1527.927487 -1
13411
13421 -726.251000 1
13430
13440
13451
13461 2063.642745 1
13470
13480
1349error is 0.458407 and beta is 0.846406 and alpha is 0.166756
1350updating weights	weight sum is 0.916814	renormalizing them
1351boosted classifier 64 --> mstump on si2-txthistbin
13526|mstump
135314|si2-txthistbin
13545 30 0
13551
13560 0.876524 -1
13571
13581 0.197897 1
13590
13600
13611
13621 0.876524 -1
13630
13640
1365error is 0.464817 and beta is 0.868519 and alpha is 0.140966
1366updating weights	weight sum is 0.929633	renormalizing them
1367boosted classifier 65 --> mstump on si2-harr
13686|mstump
13698|si2-harr
1370-1
13714
1372-1 -5 2 -2 -1
13732 -5 5 -2 1
1374-1 -2 2 3 1
13752 -2 5 3 -1
13761
13770 83.394733 -1
13781
13791 -380.042036 1
13800
13810
13821
13831 647.388538 1
13840
13850
1386error is 0.461469 and beta is 0.856904 and alpha is 0.154429
1387updating weights	weight sum is 0.922938	renormalizing them
1388boosted classifier 66 --> mstump on rgb2-colormean
13896|mstump
139014|rgb2-colormean
13912
13923
1393-3 -3 3 3 1
13941
13950 241.747706 1
13961
13971 1.068890 -1
13980
13990
14001
14011 250.773162 1
14020
14030
1404error is 0.465973 and beta is 0.872565 and alpha is 0.136318
1405updating weights	weight sum is 0.931946	renormalizing them
1406boosted classifier 67 --> mstump on si2-harr
14076|mstump
14088|si2-harr
1409-1
14104
1411-5 -5 -2 2 -1
1412-2 -5 5 2 1
1413-5 2 -2 5 1
1414-2 2 5 5 -1
14151
14160 3028.562718 -1
14171
14181 2970.550161 -1
14190
14200
14211
14221 6173.583859 1
14230
14240
1425error is 0.460448 and beta is 0.853388 and alpha is 0.158540
1426updating weights	weight sum is 0.920895	renormalizing them
1427boosted classifier 68 --> mstump on rgb2-colormean
14286|mstump
142914|rgb2-colormean
14302
14311
1432-1 -1 1 1 1
14331
14340 113.289781 1
14351
14361 112.119022 1
14370
14380
14391
14401 114.795042 1
14410
14420
1443error is 0.459554 and beta is 0.850322 and alpha is 0.162140
1444updating weights	weight sum is 0.919107	renormalizing them
1445boosted classifier 69 --> mstump on rgb2-colormean
14466|mstump
144714|rgb2-colormean
14480
14493
1450-3 -3 3 3 1
14511
14520 86.260548 -1
14531
14541 85.367117 -1
14550
14560
14571
14581 86.260548 -1
14590
14600
1461error is 0.459661 and beta is 0.850690 and alpha is 0.161708
1462updating weights	weight sum is 0.919322	renormalizing them
1463boosted classifier 70 --> mstump on si2-txtvalue
14646|mstump
146512|si2-txtvalue
146634
14671
14680 2.537798 1
14691
14701 0.017495 -1
14710
14720
14731
14741 120.992047 -1
14750
14760
1477error is 0.463115 and beta is 0.862598 and alpha is 0.147807
1478updating weights	weight sum is 0.926231	renormalizing them
1479boosted classifier 71 --> mstump on si2-harr
14806|mstump
14818|si2-harr
1482-1
14832
1484-2 0 2 5 -1
14852 0 5 5 1
14861
14870 -732.606871 -1
14881
14891 -1241.661970 1
14900
14910
14921
14931 328.827167 1
14940
14950
1496error is 0.464957 and beta is 0.869009 and alpha is 0.140402
1497updating weights	weight sum is 0.929914	renormalizing them
1498boosted classifier 72 --> mstump on si2-txtvalue
14996|mstump
150012|si2-txtvalue
15018
15021
15030 2.250113 -1
15041
15051 -2.413402 1
15060
15070
15081
15091 13.666008 1
15100
15110
1512error is 0.462880 and beta is 0.861781 and alpha is 0.148754
1513updating weights	weight sum is 0.925760	renormalizing them
1514boosted classifier 73 --> mstump on si2-txtvalue
15156|mstump
151612|si2-txtvalue
151726
15181
15190 9.794198 1
15201
15211 0.016433 -1
15220
15230
15241
15251 208.823172 -1
15260
15270
1528error is 0.470828 and beta is 0.889745 and alpha is 0.116820
1529updating weights	weight sum is 0.941656	renormalizing them
1530boosted classifier 74 --> mstump on rgb2-colormean
15316|mstump
153214|rgb2-colormean
15330
15343
1535-3 -3 3 3 1
15361
15370 48.736443 -1
15381
15391 3.506495 1
15400
15410
15421
15431 48.736443 -1
15440
15450
1546error is 0.466935 and beta is 0.875944 and alpha is 0.132453
1547updating weights	weight sum is 0.933870	renormalizing them
1548boosted classifier 75 --> mstump on rgb2-colormean
15496|mstump
155014|rgb2-colormean
15512
15524
1553-4 -4 4 4 1
15541
15550 46.471262 1
15561
15571 5.260033 -1
15580
15590
15601
15611 46.471262 1
15620
15630
1564error is 0.463281 and beta is 0.863171 and alpha is 0.147142
1565updating weights	weight sum is 0.926561	renormalizing them
1566boosted classifier 76 --> mstump on si2-harr
15676|mstump
15688|si2-harr
1569-1
15702
1571-5 -5 5 2 -1
1572-5 2 5 5 1
15731
15740 -3701.077791 1
15751
15761 -14302.921571 -1
15770
15780
15791
15801 -613.950866 -1
15810
15820
1583error is 0.466256 and beta is 0.873557 and alpha is 0.135182
1584updating weights	weight sum is 0.932512	renormalizing them
1585boosted classifier 77 --> mstump on si2-harr
15866|mstump
15878|si2-harr
1588-1
15892
1590-5 0 -1 5 -1
15911 0 4 5 1
15921
15930 -486.379026 -1
15941
15951 -4205.534188 1
15960
15970
15981
15991 -100.844069 1
16000
16010
1602error is 0.464817 and beta is 0.868519 and alpha is 0.140966
1603updating weights	weight sum is 0.929633	renormalizing them
1604boosted classifier 78 --> mstump on si2-harr
16056|mstump
16068|si2-harr
1607-1
16082
1609-5 -5 -1 0 -1
16102 -5 5 0 1
16111
16120 -266.869049 1
16131
16141 -1630.077559 -1
16150
16160
16171
16181 -157.812368 -1
16190
16200
1621error is 0.464184 and beta is 0.866311 and alpha is 0.143512
1622updating weights	weight sum is 0.928367	renormalizing them
1623boosted classifier 79 --> mstump on si2-txthistbin
16246|mstump
162514|si2-txthistbin
16265 27 0
16271
16280 0.883353 1
16291
16301 0.240522 -1
16310
16320
16331
16341 0.883353 1
16350
16360
1637error is 0.461533 and beta is 0.857124 and alpha is 0.154173
1638updating weights	weight sum is 0.923066	renormalizing them
1639boosted classifier 80 --> mstump on si2-harr
16406|mstump
16418|si2-harr
1642-1
16432
1644-5 -5 -2 0 -1
1645-1 -5 2 0 1
16461
16470 36.210307 1
16481
16491 -242.349515 -1
16500
16510
16521
16531 170.898573 -1
16540
16550
1656error is 0.465668 and beta is 0.871497 and alpha is 0.137542
1657updating weights	weight sum is 0.931337	renormalizing them
1658boosted classifier 81 --> mstump on si2-harr
16596|mstump
16608|si2-harr
1661-1
16624
1663-5 -5 2 -2 -1
16642 -5 5 -2 1
1665-5 0 2 5 1
16662 0 5 5 -1
16671
16680 268.160446 1
16691
16701 140.522685 -1
16710
16720
16731
16741 2086.438727 -1
16750
16760
1677error is 0.470314 and beta is 0.887912 and alpha is 0.118882
1678updating weights	weight sum is 0.940629	renormalizing them
1679boosted classifier 82 --> mstump on rgb2-colormean
16806|mstump
168114|rgb2-colormean
16820
16833
1684-3 -3 3 3 1
16851
16860 40.695563 -1
16871
16881 39.439176 -1
16890
16900
16911
16921 40.695563 -1
16930
16940
1695error is 0.465937 and beta is 0.872437 and alpha is 0.136465
1696updating weights	weight sum is 0.931873	renormalizing them
1697boosted classifier 83 --> mstump on si2-harr
16986|mstump
16998|si2-harr
1700-1
17012
1702-3 -5 0 5 -1
17030 -5 5 5 1
17041
17050 764.690834 1
17061
17071 206.080567 -1
17080
17090
17101
17111 5738.982255 -1
17120
17130
1714error is 0.465395 and beta is 0.870540 and alpha is 0.138642
1715updating weights	weight sum is 0.930790	renormalizing them
1716boosted classifier 84 --> mstump on si2-harr
17176|mstump
17188|si2-harr
1719-1
17204
1721-5 -5 -2 0 -1
1722-2 -5 3 0 1
1723-5 2 -2 5 1
1724-2 2 3 5 -1
17251
17260 180.140303 -1
17271
17281 60.486016 1
17290
17300
17311
17321 2024.810563 1
17330
17340
1735error is 0.465501 and beta is 0.870910 and alpha is 0.138216
1736updating weights	weight sum is 0.931002	renormalizing them
1737boosted classifier 85 --> mstump on si2-harr
17386|mstump
17398|si2-harr
1740-1
17412
1742-3 -5 0 0 -1
17431 -5 5 0 1
17441
17450 336.414742 1
17461
17471 90.229347 -1
17480
17490
17501
17511 1623.612665 -1
17520
17530
1754error is 0.466716 and beta is 0.875172 and alpha is 0.133335
1755updating weights	weight sum is 0.933431	renormalizing them
1756boosted classifier 86 --> mstump on si2-harr
17576|mstump
17588|si2-harr
1759-1
17602
17610 -1 5 2 -1
17620 2 5 5 1
17631
17640 -71.683500 -1
17651
17661 -610.862456 1
17670
17680
17691
17701 96.809924 1
17710
17720
1773error is 0.469739 and beta is 0.885862 and alpha is 0.121194
1774updating weights	weight sum is 0.939477	renormalizing them
1775boosted classifier 87 --> mstump on si2-txthistbin
17766|mstump
177714|si2-txthistbin
17785 24 0
17791
17800 0.968531 1
17811
17821 0.162442 -1
17830
17840
17851
17861 1.000029 -1
17870
17880
1789error is 0.463575 and beta is 0.864194 and alpha is 0.145958
1790updating weights	weight sum is 0.927150	renormalizing them
1791boosted classifier 88 --> mstump on si2-harr
17926|mstump
17938|si2-harr
1794-1
17953
1796-5 -5 5 -2 -1
1797-5 -2 5 1 2
1798-5 1 5 4 -1
17991
18000 -26.364044 -1
18011
18021 -3485.765609 1
18030
18040
18051
18061 190.464544 1
18070
18080
1809error is 0.467676 and beta is 0.878555 and alpha is 0.129477
1810updating weights	weight sum is 0.935352	renormalizing them
1811boosted classifier 89 --> mstump on rgb2-colormean
18126|mstump
181314|rgb2-colormean
18142
18153
1816-3 -3 3 3 1
18171
18180 241.747706 1
18191
18201 1.068890 -1
18210
18220
18231
18241 241.747706 1
18250
18260
1827error is 0.471191 and beta is 0.891042 and alpha is 0.115364
1828updating weights	weight sum is 0.942382	renormalizing them
1829boosted classifier 90 --> mstump on rgb2-colormean
18306|mstump
183114|rgb2-colormean
18320
18334
1834-4 -4 4 4 1
18351
18360 161.301913 -1
18371
18381 7.173792 1
18390
18400
18411
18421 161.301913 -1
18430
18440
1845error is 0.459620 and beta is 0.850551 and alpha is 0.161871
1846updating weights	weight sum is 0.919241	renormalizing them
1847boosted classifier 91 --> mstump on rgb2-colormean
18486|mstump
184914|rgb2-colormean
18502
18514
1852-4 -4 4 4 1
18531
18540 102.645595 1
18551
18561 5.232168 -1
18570
18580
18591
18601 256.177627 -1
18610
18620
1863error is 0.460985 and beta is 0.855235 and alpha is 0.156379
1864updating weights	weight sum is 0.921969	renormalizing them
1865boosted classifier 92 --> mstump on si2-txtvalue
18666|mstump
186712|si2-txtvalue
186819
18691
18700 33.268125 -1
18711
18721 0.337820 1
18730
18740
18751
18761 52.994233 1
18770
18780
1879error is 0.463097 and beta is 0.862532 and alpha is 0.147883
1880updating weights	weight sum is 0.926193	renormalizing them
1881boosted classifier 93 --> mstump on si2-harr
18826|mstump
18838|si2-harr
1884-1
18852
1886-5 -5 5 -1 -1
1887-5 2 5 5 1
18881
18890 -657.483771 1
18901
18911 -11941.357920 -1
18920
18930
18941
18951 -85.306190 -1
18960
18970
1898error is 0.467225 and beta is 0.876963 and alpha is 0.131290
1899updating weights	weight sum is 0.934449	renormalizing them
1900boosted classifier 94 --> mstump on si2-harr
19016|mstump
19028|si2-harr
1903-1
19044
1905-5 -3 -2 0 -1
19060 -3 3 0 1
1907-5 0 -2 3 1
19080 0 3 3 -1
19091
19100 -36.964286 1
19111
19121 -1227.491436 -1
19130
19140
19151
19161 -13.514508 1
19170
19180
1919error is 0.467971 and beta is 0.879598 and alpha is 0.128290
1920updating weights	weight sum is 0.935943	renormalizing them
1921boosted classifier 95 --> mstump on rgb2-colormean
19226|mstump
192314|rgb2-colormean
19242
19254
1926-4 -4 4 4 1
19271
19280 182.894643 1
19291
19301 4.786340 -1
19310
19320
19331
19341 182.894643 1
19350
19360
1937error is 0.467848 and beta is 0.879164 and alpha is 0.128784
1938updating weights	weight sum is 0.935697	renormalizing them
1939boosted classifier 96 --> mstump on rgb2-colormean
19406|mstump
194114|rgb2-colormean
19420
19434
1944-4 -4 4 4 1
19451
19460 212.231205 -1
19471
19481 4.884208 1
19490
19500
19511
19521 220.775264 -1
19530
19540
1955error is 0.461774 and beta is 0.857957 and alpha is 0.153201
1956updating weights	weight sum is 0.923549	renormalizing them
1957boosted classifier 97 --> mstump on rgb2-colormean
19586|mstump
195914|rgb2-colormean
19602
19613
1962-3 -3 3 3 1
19631
19640 241.747706 1
19651
19661 1.068890 -1
19670
19680
19691
19701 255.118752 -1
19710
19720
1973error is 0.465201 and beta is 0.869861 and alpha is 0.139422
1974updating weights	weight sum is 0.930402	renormalizing them
1975boosted classifier 98 --> mstump on si2-harr
19766|mstump
19778|si2-harr
1978-1
19792
1980-2 -5 1 0 -1
19811 -5 5 0 1
19821
19830 1144.237918 -1
19841
19851 -630.308267 1
19860
19870
19881
19891 2256.790279 1
19900
19910
1992error is 0.467021 and beta is 0.876245 and alpha is 0.132109
1993updating weights	weight sum is 0.934041	renormalizing them
1994boosted classifier 99 --> mstump on si2-harr
19956|mstump
19968|si2-harr
1997-1
19982
1999-5 -3 0 1 -1
2000-5 2 0 5 1
20011
20020 -771.938281 -1
20031
20041 -1685.675721 1
20050
20060
20071
20081 367.187728 1
20090
20100
2011error is 0.464949 and beta is 0.868980 and alpha is 0.140436
2012updating weights	weight sum is 0.929897	renormalizing them
2013boosted classifier 100 --> mstump on rgb2-colormean
20146|mstump
201514|rgb2-colormean
20160
20174
2018-4 -4 4 4 1
20191
20200 142.538490 -1
20211
20221 16.750956 1
20230
20240
20251
20261 147.341033 -1
20270
20280
2029error is 0.469860 and beta is 0.886295 and alpha is 0.120706
2030updating weights	weight sum is 0.939720	renormalizing them
2031boosted classifier 101 --> mstump on si2-harr
20326|mstump
20338|si2-harr
2034-1
20353
2036-5 0 -1 5 -1
2037-1 0 2 5 2
20382 0 5 5 -1
20391
20400 -592.363497 -1
20411
20421 -1543.101170 1
20430
20440
20451
20461 -80.952351 1
20470
20480
2049error is 0.468469 and beta is 0.881358 and alpha is 0.126292
2050updating weights	weight sum is 0.936938	renormalizing them
2051boosted classifier 102 --> mstump on si2-txtvalue
20526|mstump
205312|si2-txtvalue
20547
20551
20560 6.945196 -1
20571
20581 0.015583 1
20590
20600
20611
20621 155.102289 1
20630
20640
2065error is 0.470272 and beta is 0.887760 and alpha is 0.119054
2066updating weights	weight sum is 0.940543	renormalizing them
2067boosted classifier 103 --> mstump on si2-harr
20686|mstump
20698|si2-harr
2070-1
20712
2072-5 -5 5 -2 -1
2073-5 0 5 3 1
20741
20750 -270.781082 -1
20761
20771 -3521.044954 1
20780
20790
20801
20811 43.981314 1
20820
20830
2084error is 0.471946 and beta is 0.893747 and alpha is 0.112333
2085updating weights	weight sum is 0.943893	renormalizing them
2086boosted classifier 104 --> mstump on si2-harr
20876|mstump
20888|si2-harr
2089-1
20904
2091-3 -5 2 -2 -1
20922 -5 5 -2 1
2093-3 0 2 3 1
20942 0 5 3 -1
20951
20960 15.049390 -1
20971
20981 -701.109548 1
20990
21000
21011
21021 562.836017 1
21030
21040
2105error is 0.466853 and beta is 0.875657 and alpha is 0.132781
2106updating weights	weight sum is 0.933707	renormalizing them
2107boosted classifier 105 --> mstump on si2-ylocation
21086|mstump
210913|si2-ylocation
21101
21110 547.636639 1
21121
21131 202.699258 -1
21140
21150
21161
21171 943.877672 -1
21180
21190
2120error is 0.470053 and beta is 0.886982 and alpha is 0.119930
2121updating weights	weight sum is 0.940107	renormalizing them
2122boosted classifier 106 --> mstump on si2-ylocation
21236|mstump
212413|si2-ylocation
21251
21260 281.145524 1
21271
21281 278.266762 1
21290
21300
21311
21321 490.883902 -1
21330
21340
2135error is 0.467223 and beta is 0.876959 and alpha is 0.131295
2136updating weights	weight sum is 0.934447	renormalizing them
2137boosted classifier 107 --> mstump on si2-txtvalue
21386|mstump
213912|si2-txtvalue
21402
21411
21420 2.578896 -1
21431
21441 -2.766045 1
21450
21460
21471
21481 31.363633 1
21490
21500
2151error is 0.470504 and beta is 0.888590 and alpha is 0.118120
2152updating weights	weight sum is 0.941009	renormalizing them
2153boosted classifier 108 --> mstump on rgb2-colormean
21546|mstump
215514|rgb2-colormean
21560
21573
2158-3 -3 3 3 1
21591
21600 48.736443 -1
21611
21621 3.506495 1
21630
21640
21651
21661 48.736443 -1
21670
21680
2169error is 0.472353 and beta is 0.895205 and alpha is 0.110703
2170updating weights	weight sum is 0.944705	renormalizing them
2171boosted classifier 109 --> mstump on si2-harr
21726|mstump
21738|si2-harr
2174-1
21754
2176-5 -5 2 -2 -1
21772 -5 5 -2 1
2178-5 -2 2 5 1
21792 -2 5 5 -1
21801
21810 529.752192 1
21821
21831 59.135154 -1
21840
21850
21861
21871 4153.503387 -1
21880
21890
2190error is 0.470466 and beta is 0.888455 and alpha is 0.118272
2191updating weights	weight sum is 0.940933	renormalizing them
2192boosted classifier 110 --> mstump on si2-txtvalue
21936|mstump
219412|si2-txtvalue
21953
21961
21970 11.788597 -1
21981
21991 3.033194 1
22000
22010
22021
22031 38.499995 1
22040
22050
2206error is 0.471309 and beta is 0.891465 and alpha is 0.114889
2207updating weights	weight sum is 0.942619	renormalizing them
2208boosted classifier 111 --> mstump on si2-harr
22096|mstump
22108|si2-harr
2211-1
22123
2213-5 0 -2 5 -1
2214-2 0 1 5 2
22151 0 4 5 -1
22161
22170 -69.311537 1
22181
22191 -3746.971977 -1
22200
22210
22221
22231 -41.947992 1
22240
22250
2226error is 0.470893 and beta is 0.889976 and alpha is 0.116561
2227updating weights	weight sum is 0.941786	renormalizing them
2228boosted classifier 112 --> mstump on si2-ylocation
22296|mstump
223013|si2-ylocation
22311
22320 547.636639 1
22331
22341 4.784367 -1
22350
22360
22371
22381 547.636639 1
22390
22400
2241error is 0.468112 and beta is 0.880097 and alpha is 0.127724
2242updating weights	weight sum is 0.936225	renormalizing them
2243boosted classifier 113 --> mstump on si2-xlocation
22446|mstump
224513|si2-xlocation
22461
22470 933.457335 -1
22481
22491 6.290996 1
22500
22510
22521
22531 1209.675641 1
22540
22550
2256error is 0.468375 and beta is 0.881025 and alpha is 0.126669
2257updating weights	weight sum is 0.936750	renormalizing them
2258boosted classifier 114 --> mstump on si2-txtvalue
22596|mstump
226012|si2-txtvalue
226112
22621
22630 10.216361 1
22641
22651 2.030145 -1
22660
22670
22681
22691 139.665937 -1
22700
22710
2272error is 0.471690 and beta is 0.892827 and alpha is 0.113362
2273updating weights	weight sum is 0.943380	renormalizing them
2274boosted classifier 115 --> mstump on si2-txthistbin
22756|mstump
227614|si2-txthistbin
22775 26 1
22781
22790 0.106100 1
22801
22811 0.100000 1
22820
22830
22841
22851 0.850856 -1
22860
22870
2288error is 0.473024 and beta is 0.8…

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