did not specify errorGoal (-e) or specified negative goal
 setting to 0.05 (95% accuracy)
mapping input label 0 to class 0
mapping input label 255 to class 1
WLS size 2	x and y
WLS size 6	 si2 means
WLS size 426	 si2 2box harrs 5
WLS size 468	 si2 3box harrs
WLS size 693	 si2 4box harrs
WLS size after txt value 729
WLS size after txt hist bin 1305
WLS size 1308	 r, g, and b values
WLS size 1320	 color means
created a weak learner set with 1320 elements


*********  BEGINNING TRAINING  

building a dataset with CacheAll
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have the following classes
label 0:N/A
label 1:N/A
building dataset with 2 classes
contiguous: dataStep is 5280 (4*1320)
Wanted 35600 sample, have 2 classes, taking 17800 per class (max a 178000)


****
added a total of 35600 datums of a desired 35600
for class 0:N/A, added 17800 (sanity 17800)
for class 1:N/A, added 17800 (sanity 17800)
selecting initial random subset -- trying to get 500 added
initial bootstrap added 250,250 datums as active, total 500 of 35600
beginning bootstrap iteration 1
used 0->250 and 1->250.  numberActive->500
boosted classifier 0 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 489.394997 1
1
1 278.262489 -1
0
0
1
1 489.394997 1
0
0
error is 0.202000 and beta is 0.253133 and alpha is 1.373841
updating weights	weight sum is 0.404000	renormalizing them
full set accuracy after bootstrap it 1 is 0.774382 and desired is 0.950000
added 890 and 890 to make a total of 1140 and 1140 (over 11221 attempts)
beginning bootstrap iteration 2
used 0->1140 and 1->1140.  numberActive->2280
boosted classifier 1 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 281.145524 1
1
1 278.266762 1
0
0
1
1 281.145524 1
0
0
error is 0.162281 and beta is 0.193717 and alpha is 1.641356
updating weights	weight sum is 0.324561	renormalizing them
full set accuracy after bootstrap it 2 is 0.496433 and desired is 0.950000
added 890 and 890 to make a total of 2030 and 2030 (over 8151 attempts)
beginning bootstrap iteration 3
used 0->2030 and 1->2030.  numberActive->4060
boosted classifier 2 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 94.620691 1
1
1 93.645442 1
0
0
1
1 94.620691 1
0
0
error is 0.256897 and beta is 0.345708 and alpha is 1.062162
updating weights	weight sum is 0.513793	renormalizing them
boosted classifier 3 --> mstump on si2-xlocation
6|mstump
13|si2-xlocation
1
0 840.740701 -1
1
1 258.364344 1
0
0
1
1 1264.174257 1
0
0
error is 0.362928 and beta is 0.569681 and alpha is 0.562679
updating weights	weight sum is 0.725855	renormalizing them
boosted classifier 4 --> mstump on rgb2-redvalue
6|mstump
13|rgb2-redvalue
1
0 80.716476 -1
1
1 0.222935 1
0
0
1
1 80.716476 -1
0
0
error is 0.401562 and beta is 0.671018 and alpha is 0.398959
updating weights	weight sum is 0.803125	renormalizing them
boosted classifier 5 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
1
-1 -1 1 1 1
1
0 201.598435 1
1
1 15.531432 -1
0
0
1
1 202.183815 1
0
0
error is 0.382707 and beta is 0.619976 and alpha is 0.478075
updating weights	weight sum is 0.765414	renormalizing them
boosted classifier 6 --> mstump on rgb2-redvalue
6|mstump
13|rgb2-redvalue
1
0 252.436029 -1
1
1 5.477374 1
0
0
1
1 254.001181 -1
0
0
error is 0.393157 and beta is 0.647873 and alpha is 0.434060
updating weights	weight sum is 0.786315	renormalizing them
boosted classifier 7 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
2
-2 -2 2 2 1
1
0 54.587601 1
1
1 4.454818 -1
0
0
1
1 54.587601 1
0
0
error is 0.398596 and beta is 0.662775 and alpha is 0.411320
updating weights	weight sum is 0.797191	renormalizing them
boosted classifier 8 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 468.676309 1
1
1 72.435275 -1
0
0
1
1 942.232666 -1
0
0
error is 0.408559 and beta is 0.690787 and alpha is 0.369924
updating weights	weight sum is 0.817119	renormalizing them
boosted classifier 9 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 225.694135 1
1
1 94.620691 -1
0
0
1
1 229.372216 1
0
0
error is 0.416123 and beta is 0.712690 and alpha is 0.338709
updating weights	weight sum is 0.832246	renormalizing them
boosted classifier 10 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
2
-2 -2 2 2 1
1
0 134.800053 1
1
1 127.837166 1
0
0
1
1 134.800053 1
0
0
error is 0.417501 and beta is 0.716741 and alpha is 0.333040
updating weights	weight sum is 0.835002	renormalizing them
boosted classifier 11 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 105.011643 -1
1
1 3.739416 1
0
0
1
1 108.194724 -1
0
0
error is 0.396432 and beta is 0.656815 and alpha is 0.420352
updating weights	weight sum is 0.792865	renormalizing them
full set accuracy after bootstrap it 3 is 0.853118 and desired is 0.950000
added 714 and 890 to make a total of 2744 and 2920 (over 35601 attempts)
beginning bootstrap iteration 4
used 0->2744 and 1->2920.  numberActive->5664
boosted classifier 12 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 350.235813 -1
1
1 15.579725 1
0
0
1
1 563.469830 1
0
0
error is 0.376972 and beta is 0.605065 and alpha is 0.502419
updating weights	weight sum is 0.753945	renormalizing them
boosted classifier 13 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
1
-1 -1 1 1 1
1
0 115.965801 1
1
1 11.684653 -1
0
0
1
1 123.352731 1
0
0
error is 0.386807 and beta is 0.630808 and alpha is 0.460753
updating weights	weight sum is 0.773614	renormalizing them
boosted classifier 14 --> mstump on si2-xlocation
6|mstump
13|si2-xlocation
1
0 708.288367 -1
1
1 20.915941 1
0
0
1
1 708.288367 -1
0
0
error is 0.395957 and beta is 0.655512 and alpha is 0.422338
updating weights	weight sum is 0.791915	renormalizing them
boosted classifier 15 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 67.484796 -1
1
1 12.339318 1
0
0
1
1 255.817074 1
0
0
error is 0.416839 and beta is 0.714791 and alpha is 0.335765
updating weights	weight sum is 0.833677	renormalizing them
boosted classifier 16 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 65.196040 1
1
1 5.009254 -1
0
0
1
1 255.787527 -1
0
0
error is 0.410929 and beta is 0.697588 and alpha is 0.360126
updating weights	weight sum is 0.821858	renormalizing them
boosted classifier 17 --> mstump on rgb2-redvalue
6|mstump
13|rgb2-redvalue
1
0 252.436029 -1
1
1 5.477374 1
0
0
1
1 254.001181 -1
0
0
error is 0.426595 and beta is 0.743969 and alpha is 0.295756
updating weights	weight sum is 0.853191	renormalizing them
boosted classifier 18 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 252.444542 1
1
1 19.398365 -1
0
0
1
1 252.444542 1
0
0
error is 0.402838 and beta is 0.674588 and alpha is 0.393654
updating weights	weight sum is 0.805676	renormalizing them
boosted classifier 19 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 220.272673 -1
1
1 7.341323 1
0
0
1
1 255.063187 1
0
0
error is 0.431406 and beta is 0.758723 and alpha is 0.276118
updating weights	weight sum is 0.862811	renormalizing them
boosted classifier 20 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 169.519801 1
1
1 0.996802 -1
0
0
1
1 169.519801 1
0
0
error is 0.425417 and beta is 0.740393 and alpha is 0.300575
updating weights	weight sum is 0.850834	renormalizing them
boosted classifier 21 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 110.383187 -1
1
1 9.648833 1
0
0
1
1 110.383187 -1
0
0
error is 0.429731 and beta is 0.753560 and alpha is 0.282947
updating weights	weight sum is 0.859463	renormalizing them
boosted classifier 22 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
2
-2 -2 2 2 1
1
0 75.977588 1
1
1 8.131222 -1
0
0
1
1 255.898574 -1
0
0
error is 0.438416 and beta is 0.780677 and alpha is 0.247594
updating weights	weight sum is 0.876831	renormalizing them
boosted classifier 23 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
22
1
0 2.424779 1
1
1 1.011351 1
0
0
1
1 59.014258 -1
0
0
error is 0.441113 and beta is 0.789271 and alpha is 0.236646
updating weights	weight sum is 0.882226	renormalizing them
boosted classifier 24 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 72.845774 -1
1
1 68.322449 -1
0
0
1
1 72.845774 -1
0
0
error is 0.437922 and beta is 0.779112 and alpha is 0.249601
updating weights	weight sum is 0.875843	renormalizing them
boosted classifier 25 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 46.471262 1
1
1 5.260033 -1
0
0
1
1 255.592478 -1
0
0
error is 0.444584 and beta is 0.800452 and alpha is 0.222579
updating weights	weight sum is 0.889168	renormalizing them
boosted classifier 26 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 468.676309 1
1
1 86.931899 -1
0
0
1
1 473.714142 1
0
0
error is 0.439250 and beta is 0.783327 and alpha is 0.244206
updating weights	weight sum is 0.878500	renormalizing them
boosted classifier 27 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
5
1
0 7.008335 -1
1
1 5.038585 -1
0
0
1
1 222.203450 1
0
0
error is 0.441007 and beta is 0.788930 and alpha is 0.237078
updating weights	weight sum is 0.882013	renormalizing them
boosted classifier 28 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
35
1
0 2.609720 1
1
1 1.032146 1
0
0
1
1 44.978851 -1
0
0
error is 0.449965 and beta is 0.818067 and alpha is 0.200811
updating weights	weight sum is 0.899931	renormalizing them
boosted classifier 29 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -1 0 2 -1
-5 2 0 5 1
1
0 46.350031 1
1
1 17.015295 1
0
0
1
1 3155.832058 -1
0
0
error is 0.453135 and beta is 0.828604 and alpha is 0.188012
updating weights	weight sum is 0.906270	renormalizing them
boosted classifier 30 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
0 -3 5 2 -1
0 2 5 5 1
1
0 -887.274104 1
1
1 -1460.495563 -1
0
0
1
1 -624.382883 1
0
0
error is 0.455739 and beta is 0.837354 and alpha is 0.177508
updating weights	weight sum is 0.911478	renormalizing them
boosted classifier 31 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 1.068890 -1
0
0
1
1 254.951613 1
0
0
error is 0.450898 and beta is 0.821154 and alpha is 0.197044
updating weights	weight sum is 0.901795	renormalizing them
boosted classifier 32 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 190.787293 -1
1
1 4.437460 1
0
0
1
1 255.007343 1
0
0
error is 0.429564 and beta is 0.753044 and alpha is 0.283632
updating weights	weight sum is 0.859127	renormalizing them
boosted classifier 33 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 132.070246 1
1
1 5.092847 -1
0
0
1
1 133.379866 1
0
0
error is 0.435143 and beta is 0.770359 and alpha is 0.260899
updating weights	weight sum is 0.870285	renormalizing them
boosted classifier 34 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 147.899468 -1
1
1 5.079660 1
0
0
1
1 154.768221 -1
0
0
error is 0.443130 and beta is 0.795750 and alpha is 0.228470
updating weights	weight sum is 0.886259	renormalizing them
boosted classifier 35 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
2
-2 -2 2 2 1
1
0 217.686253 1
1
1 7.880558 -1
0
0
1
1 222.281759 1
0
0
error is 0.445640 and beta is 0.803880 and alpha is 0.218305
updating weights	weight sum is 0.891279	renormalizing them
boosted classifier 36 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-3 -5 2 0 -1
2 -5 5 0 1
-3 0 2 3 1
2 0 5 3 -1
1
0 -988.908662 1
1
1 -3418.989426 -1
0
0
1
1 -988.908662 1
0
0
error is 0.441365 and beta is 0.790079 and alpha is 0.235622
updating weights	weight sum is 0.882731	renormalizing them
boosted classifier 37 --> mstump on si2-xlocation
6|mstump
13|si2-xlocation
1
0 469.874165 1
1
1 25.606961 -1
0
0
1
1 966.432448 -1
0
0
error is 0.448263 and beta is 0.812459 and alpha is 0.207690
updating weights	weight sum is 0.896527	renormalizing them
boosted classifier 38 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
0 -5 5 -2 -1
0 -2 5 1 1
1
0 -37.138466 -1
1
1 -459.058776 1
0
0
1
1 55.932190 1
0
0
error is 0.455064 and beta is 0.835077 and alpha is 0.180232
updating weights	weight sum is 0.910127	renormalizing them
boosted classifier 39 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -3 -2 0 -1
-2 -3 1 0 1
-5 0 -2 5 1
-2 0 1 5 -1
1
0 14.264909 -1
1
1 -108.960880 1
0
0
1
1 340.128661 1
0
0
error is 0.458854 and beta is 0.847929 and alpha is 0.164958
updating weights	weight sum is 0.917707	renormalizing them
boosted classifier 40 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -2 5 1 -1
-5 2 5 5 1
1
0 -77.179306 -1
1
1 -508.334812 1
0
0
1
1 818.666023 1
0
0
error is 0.456948 and beta is 0.841445 and alpha is 0.172634
updating weights	weight sum is 0.913897	renormalizing them
boosted classifier 41 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 -2 5 -1
1 -5 5 5 1
1
0 2927.527129 -1
1
1 -3480.681036 1
0
0
1
1 2927.527129 -1
0
0
error is 0.454294 and beta is 0.832488 and alpha is 0.183337
updating weights	weight sum is 0.908588	renormalizing them
boosted classifier 42 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 1.068890 -1
0
0
1
1 254.951613 1
0
0
error is 0.447258 and beta is 0.809161 and alpha is 0.211757
updating weights	weight sum is 0.894515	renormalizing them
boosted classifier 43 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 244.397074 -1
1
1 5.554330 1
0
0
1
1 244.397074 -1
0
0
error is 0.445099 and beta is 0.802122 and alpha is 0.220494
updating weights	weight sum is 0.890197	renormalizing them
boosted classifier 44 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 110.670500 1
1
1 8.993843 -1
0
0
1
1 112.203034 1
0
0
error is 0.441356 and beta is 0.790048 and alpha is 0.235661
updating weights	weight sum is 0.882712	renormalizing them
boosted classifier 45 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
0 -3 5 2 -1
0 2 5 5 1
1
0 -982.152139 1
1
1 -5826.861781 -1
0
0
1
1 2563.914405 -1
0
0
error is 0.449139 and beta is 0.815341 and alpha is 0.204149
updating weights	weight sum is 0.898278	renormalizing them
boosted classifier 46 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 182.894643 1
1
1 72.998031 1
0
0
1
1 182.894643 1
0
0
error is 0.457767 and beta is 0.844227 and alpha is 0.169334
updating weights	weight sum is 0.915535	renormalizing them
boosted classifier 47 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
1
-1 -1 1 1 1
1
0 48.519059 -1
1
1 6.259950 1
0
0
1
1 57.239193 -1
0
0
error is 0.452622 and beta is 0.826890 and alpha is 0.190084
updating weights	weight sum is 0.905243	renormalizing them
boosted classifier 48 --> mstump on rgb2-bluevalue
6|mstump
14|rgb2-bluevalue
1
0 43.152823 1
1
1 5.141985 -1
0
0
1
1 255.566334 -1
0
0
error is 0.452257 and beta is 0.825674 and alpha is 0.191556
updating weights	weight sum is 0.904514	renormalizing them
boosted classifier 49 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 40.695563 -1
1
1 39.439176 -1
0
0
1
1 42.957061 -1
0
0
error is 0.453413 and beta is 0.829535 and alpha is 0.186890
updating weights	weight sum is 0.906826	renormalizing them
boosted classifier 50 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 41.121326 1
1
1 36.941688 1
0
0
1
1 41.121326 1
0
0
error is 0.459090 and beta is 0.848738 and alpha is 0.164005
updating weights	weight sum is 0.918181	renormalizing them
boosted classifier 51 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 458.806267 1
1
1 4.784367 -1
0
0
1
1 489.650146 -1
0
0
error is 0.461807 and beta is 0.858070 and alpha is 0.153070
updating weights	weight sum is 0.923614	renormalizing them
boosted classifier 52 --> mstump on si2-txthistbin
6|mstump
14|si2-txthistbin
5 31 1
1
0 0.010274 -1
1
1 0.000071 -1
0
0
1
1 0.291762 1
0
0
error is 0.459055 and beta is 0.848617 and alpha is 0.164147
updating weights	weight sum is 0.918110	renormalizing them
boosted classifier 53 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 0 -1 -1
-5 0 0 4 1
1
0 -95.739039 -1
1
1 -985.511750 1
0
0
1
1 74.952053 1
0
0
error is 0.459799 and beta is 0.851164 and alpha is 0.161151
updating weights	weight sum is 0.919599	renormalizing them
boosted classifier 54 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 233.719039 1
1
1 0.996802 -1
0
0
1
1 237.480713 1
0
0
error is 0.462381 and beta is 0.860054 and alpha is 0.150760
updating weights	weight sum is 0.924762	renormalizing them
boosted classifier 55 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 190.791984 -1
1
1 4.455765 1
0
0
1
1 191.489977 -1
0
0
error is 0.448679 and beta is 0.813826 and alpha is 0.206009
updating weights	weight sum is 0.897358	renormalizing them
boosted classifier 56 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 153.498807 1
1
1 12.183572 -1
0
0
1
1 153.498807 1
0
0
error is 0.450716 and beta is 0.820550 and alpha is 0.197780
updating weights	weight sum is 0.901431	renormalizing them
boosted classifier 57 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 105.011643 -1
1
1 3.739416 1
0
0
1
1 108.194724 -1
0
0
error is 0.456353 and beta is 0.839429 and alpha is 0.175034
updating weights	weight sum is 0.912706	renormalizing them
boosted classifier 58 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -5 -2 -2 -1
0 -5 5 -2 1
-5 0 -2 5 1
0 0 5 5 -1
1
0 -303.005939 -1
1
1 -1315.973939 1
0
0
1
1 44.694747 1
0
0
error is 0.456108 and beta is 0.838602 and alpha is 0.176020
updating weights	weight sum is 0.912217	renormalizing them
boosted classifier 59 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -3 0 2 -1
0 -3 3 2 1
-5 2 0 5 1
0 2 3 5 -1
1
0 -21.152418 -1
1
1 -992.659745 1
0
0
1
1 616.974500 1
0
0
error is 0.463273 and beta is 0.863145 and alpha is 0.147172
updating weights	weight sum is 0.926546	renormalizing them
boosted classifier 60 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 191.606286 1
0
0
1
1 243.753363 1
0
0
error is 0.460111 and beta is 0.852231 and alpha is 0.159897
updating weights	weight sum is 0.920221	renormalizing them
boosted classifier 61 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 244.397849 -1
1
1 0.491165 1
0
0
1
1 244.397849 -1
0
0
error is 0.455183 and beta is 0.835480 and alpha is 0.179749
updating weights	weight sum is 0.910367	renormalizing them
boosted classifier 62 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 1.068890 -1
0
0
1
1 254.951613 1
0
0
error is 0.455876 and beta is 0.837817 and alpha is 0.176955
updating weights	weight sum is 0.911753	renormalizing them
boosted classifier 63 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -4 0 -1 -1
-5 1 0 5 1
1
0 1527.927487 -1
1
1 -726.251000 1
0
0
1
1 2063.642745 1
0
0
error is 0.458407 and beta is 0.846406 and alpha is 0.166756
updating weights	weight sum is 0.916814	renormalizing them
boosted classifier 64 --> mstump on si2-txthistbin
6|mstump
14|si2-txthistbin
5 30 0
1
0 0.876524 -1
1
1 0.197897 1
0
0
1
1 0.876524 -1
0
0
error is 0.464817 and beta is 0.868519 and alpha is 0.140966
updating weights	weight sum is 0.929633	renormalizing them
boosted classifier 65 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-1 -5 2 -2 -1
2 -5 5 -2 1
-1 -2 2 3 1
2 -2 5 3 -1
1
0 83.394733 -1
1
1 -380.042036 1
0
0
1
1 647.388538 1
0
0
error is 0.461469 and beta is 0.856904 and alpha is 0.154429
updating weights	weight sum is 0.922938	renormalizing them
boosted classifier 66 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 1.068890 -1
0
0
1
1 250.773162 1
0
0
error is 0.465973 and beta is 0.872565 and alpha is 0.136318
updating weights	weight sum is 0.931946	renormalizing them
boosted classifier 67 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -5 -2 2 -1
-2 -5 5 2 1
-5 2 -2 5 1
-2 2 5 5 -1
1
0 3028.562718 -1
1
1 2970.550161 -1
0
0
1
1 6173.583859 1
0
0
error is 0.460448 and beta is 0.853388 and alpha is 0.158540
updating weights	weight sum is 0.920895	renormalizing them
boosted classifier 68 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
1
-1 -1 1 1 1
1
0 113.289781 1
1
1 112.119022 1
0
0
1
1 114.795042 1
0
0
error is 0.459554 and beta is 0.850322 and alpha is 0.162140
updating weights	weight sum is 0.919107	renormalizing them
boosted classifier 69 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 86.260548 -1
1
1 85.367117 -1
0
0
1
1 86.260548 -1
0
0
error is 0.459661 and beta is 0.850690 and alpha is 0.161708
updating weights	weight sum is 0.919322	renormalizing them
boosted classifier 70 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
34
1
0 2.537798 1
1
1 0.017495 -1
0
0
1
1 120.992047 -1
0
0
error is 0.463115 and beta is 0.862598 and alpha is 0.147807
updating weights	weight sum is 0.926231	renormalizing them
boosted classifier 71 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-2 0 2 5 -1
2 0 5 5 1
1
0 -732.606871 -1
1
1 -1241.661970 1
0
0
1
1 328.827167 1
0
0
error is 0.464957 and beta is 0.869009 and alpha is 0.140402
updating weights	weight sum is 0.929914	renormalizing them
boosted classifier 72 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
8
1
0 2.250113 -1
1
1 -2.413402 1
0
0
1
1 13.666008 1
0
0
error is 0.462880 and beta is 0.861781 and alpha is 0.148754
updating weights	weight sum is 0.925760	renormalizing them
boosted classifier 73 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
26
1
0 9.794198 1
1
1 0.016433 -1
0
0
1
1 208.823172 -1
0
0
error is 0.470828 and beta is 0.889745 and alpha is 0.116820
updating weights	weight sum is 0.941656	renormalizing them
boosted classifier 74 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 48.736443 -1
1
1 3.506495 1
0
0
1
1 48.736443 -1
0
0
error is 0.466935 and beta is 0.875944 and alpha is 0.132453
updating weights	weight sum is 0.933870	renormalizing them
boosted classifier 75 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 46.471262 1
1
1 5.260033 -1
0
0
1
1 46.471262 1
0
0
error is 0.463281 and beta is 0.863171 and alpha is 0.147142
updating weights	weight sum is 0.926561	renormalizing them
boosted classifier 76 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 5 2 -1
-5 2 5 5 1
1
0 -3701.077791 1
1
1 -14302.921571 -1
0
0
1
1 -613.950866 -1
0
0
error is 0.466256 and beta is 0.873557 and alpha is 0.135182
updating weights	weight sum is 0.932512	renormalizing them
boosted classifier 77 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 0 -1 5 -1
1 0 4 5 1
1
0 -486.379026 -1
1
1 -4205.534188 1
0
0
1
1 -100.844069 1
0
0
error is 0.464817 and beta is 0.868519 and alpha is 0.140966
updating weights	weight sum is 0.929633	renormalizing them
boosted classifier 78 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 -1 0 -1
2 -5 5 0 1
1
0 -266.869049 1
1
1 -1630.077559 -1
0
0
1
1 -157.812368 -1
0
0
error is 0.464184 and beta is 0.866311 and alpha is 0.143512
updating weights	weight sum is 0.928367	renormalizing them
boosted classifier 79 --> mstump on si2-txthistbin
6|mstump
14|si2-txthistbin
5 27 0
1
0 0.883353 1
1
1 0.240522 -1
0
0
1
1 0.883353 1
0
0
error is 0.461533 and beta is 0.857124 and alpha is 0.154173
updating weights	weight sum is 0.923066	renormalizing them
boosted classifier 80 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 -2 0 -1
-1 -5 2 0 1
1
0 36.210307 1
1
1 -242.349515 -1
0
0
1
1 170.898573 -1
0
0
error is 0.465668 and beta is 0.871497 and alpha is 0.137542
updating weights	weight sum is 0.931337	renormalizing them
boosted classifier 81 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -5 2 -2 -1
2 -5 5 -2 1
-5 0 2 5 1
2 0 5 5 -1
1
0 268.160446 1
1
1 140.522685 -1
0
0
1
1 2086.438727 -1
0
0
error is 0.470314 and beta is 0.887912 and alpha is 0.118882
updating weights	weight sum is 0.940629	renormalizing them
boosted classifier 82 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 40.695563 -1
1
1 39.439176 -1
0
0
1
1 40.695563 -1
0
0
error is 0.465937 and beta is 0.872437 and alpha is 0.136465
updating weights	weight sum is 0.931873	renormalizing them
boosted classifier 83 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-3 -5 0 5 -1
0 -5 5 5 1
1
0 764.690834 1
1
1 206.080567 -1
0
0
1
1 5738.982255 -1
0
0
error is 0.465395 and beta is 0.870540 and alpha is 0.138642
updating weights	weight sum is 0.930790	renormalizing them
boosted classifier 84 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -5 -2 0 -1
-2 -5 3 0 1
-5 2 -2 5 1
-2 2 3 5 -1
1
0 180.140303 -1
1
1 60.486016 1
0
0
1
1 2024.810563 1
0
0
error is 0.465501 and beta is 0.870910 and alpha is 0.138216
updating weights	weight sum is 0.931002	renormalizing them
boosted classifier 85 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-3 -5 0 0 -1
1 -5 5 0 1
1
0 336.414742 1
1
1 90.229347 -1
0
0
1
1 1623.612665 -1
0
0
error is 0.466716 and beta is 0.875172 and alpha is 0.133335
updating weights	weight sum is 0.933431	renormalizing them
boosted classifier 86 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
0 -1 5 2 -1
0 2 5 5 1
1
0 -71.683500 -1
1
1 -610.862456 1
0
0
1
1 96.809924 1
0
0
error is 0.469739 and beta is 0.885862 and alpha is 0.121194
updating weights	weight sum is 0.939477	renormalizing them
boosted classifier 87 --> mstump on si2-txthistbin
6|mstump
14|si2-txthistbin
5 24 0
1
0 0.968531 1
1
1 0.162442 -1
0
0
1
1 1.000029 -1
0
0
error is 0.463575 and beta is 0.864194 and alpha is 0.145958
updating weights	weight sum is 0.927150	renormalizing them
boosted classifier 88 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
3
-5 -5 5 -2 -1
-5 -2 5 1 2
-5 1 5 4 -1
1
0 -26.364044 -1
1
1 -3485.765609 1
0
0
1
1 190.464544 1
0
0
error is 0.467676 and beta is 0.878555 and alpha is 0.129477
updating weights	weight sum is 0.935352	renormalizing them
boosted classifier 89 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 1.068890 -1
0
0
1
1 241.747706 1
0
0
error is 0.471191 and beta is 0.891042 and alpha is 0.115364
updating weights	weight sum is 0.942382	renormalizing them
boosted classifier 90 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 161.301913 -1
1
1 7.173792 1
0
0
1
1 161.301913 -1
0
0
error is 0.459620 and beta is 0.850551 and alpha is 0.161871
updating weights	weight sum is 0.919241	renormalizing them
boosted classifier 91 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 102.645595 1
1
1 5.232168 -1
0
0
1
1 256.177627 -1
0
0
error is 0.460985 and beta is 0.855235 and alpha is 0.156379
updating weights	weight sum is 0.921969	renormalizing them
boosted classifier 92 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
19
1
0 33.268125 -1
1
1 0.337820 1
0
0
1
1 52.994233 1
0
0
error is 0.463097 and beta is 0.862532 and alpha is 0.147883
updating weights	weight sum is 0.926193	renormalizing them
boosted classifier 93 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 5 -1 -1
-5 2 5 5 1
1
0 -657.483771 1
1
1 -11941.357920 -1
0
0
1
1 -85.306190 -1
0
0
error is 0.467225 and beta is 0.876963 and alpha is 0.131290
updating weights	weight sum is 0.934449	renormalizing them
boosted classifier 94 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -3 -2 0 -1
0 -3 3 0 1
-5 0 -2 3 1
0 0 3 3 -1
1
0 -36.964286 1
1
1 -1227.491436 -1
0
0
1
1 -13.514508 1
0
0
error is 0.467971 and beta is 0.879598 and alpha is 0.128290
updating weights	weight sum is 0.935943	renormalizing them
boosted classifier 95 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
4
-4 -4 4 4 1
1
0 182.894643 1
1
1 4.786340 -1
0
0
1
1 182.894643 1
0
0
error is 0.467848 and beta is 0.879164 and alpha is 0.128784
updating weights	weight sum is 0.935697	renormalizing them
boosted classifier 96 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 212.231205 -1
1
1 4.884208 1
0
0
1
1 220.775264 -1
0
0
error is 0.461774 and beta is 0.857957 and alpha is 0.153201
updating weights	weight sum is 0.923549	renormalizing them
boosted classifier 97 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
2
3
-3 -3 3 3 1
1
0 241.747706 1
1
1 1.068890 -1
0
0
1
1 255.118752 -1
0
0
error is 0.465201 and beta is 0.869861 and alpha is 0.139422
updating weights	weight sum is 0.930402	renormalizing them
boosted classifier 98 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-2 -5 1 0 -1
1 -5 5 0 1
1
0 1144.237918 -1
1
1 -630.308267 1
0
0
1
1 2256.790279 1
0
0
error is 0.467021 and beta is 0.876245 and alpha is 0.132109
updating weights	weight sum is 0.934041	renormalizing them
boosted classifier 99 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -3 0 1 -1
-5 2 0 5 1
1
0 -771.938281 -1
1
1 -1685.675721 1
0
0
1
1 367.187728 1
0
0
error is 0.464949 and beta is 0.868980 and alpha is 0.140436
updating weights	weight sum is 0.929897	renormalizing them
boosted classifier 100 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
4
-4 -4 4 4 1
1
0 142.538490 -1
1
1 16.750956 1
0
0
1
1 147.341033 -1
0
0
error is 0.469860 and beta is 0.886295 and alpha is 0.120706
updating weights	weight sum is 0.939720	renormalizing them
boosted classifier 101 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
3
-5 0 -1 5 -1
-1 0 2 5 2
2 0 5 5 -1
1
0 -592.363497 -1
1
1 -1543.101170 1
0
0
1
1 -80.952351 1
0
0
error is 0.468469 and beta is 0.881358 and alpha is 0.126292
updating weights	weight sum is 0.936938	renormalizing them
boosted classifier 102 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
7
1
0 6.945196 -1
1
1 0.015583 1
0
0
1
1 155.102289 1
0
0
error is 0.470272 and beta is 0.887760 and alpha is 0.119054
updating weights	weight sum is 0.940543	renormalizing them
boosted classifier 103 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
2
-5 -5 5 -2 -1
-5 0 5 3 1
1
0 -270.781082 -1
1
1 -3521.044954 1
0
0
1
1 43.981314 1
0
0
error is 0.471946 and beta is 0.893747 and alpha is 0.112333
updating weights	weight sum is 0.943893	renormalizing them
boosted classifier 104 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-3 -5 2 -2 -1
2 -5 5 -2 1
-3 0 2 3 1
2 0 5 3 -1
1
0 15.049390 -1
1
1 -701.109548 1
0
0
1
1 562.836017 1
0
0
error is 0.466853 and beta is 0.875657 and alpha is 0.132781
updating weights	weight sum is 0.933707	renormalizing them
boosted classifier 105 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 547.636639 1
1
1 202.699258 -1
0
0
1
1 943.877672 -1
0
0
error is 0.470053 and beta is 0.886982 and alpha is 0.119930
updating weights	weight sum is 0.940107	renormalizing them
boosted classifier 106 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 281.145524 1
1
1 278.266762 1
0
0
1
1 490.883902 -1
0
0
error is 0.467223 and beta is 0.876959 and alpha is 0.131295
updating weights	weight sum is 0.934447	renormalizing them
boosted classifier 107 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
2
1
0 2.578896 -1
1
1 -2.766045 1
0
0
1
1 31.363633 1
0
0
error is 0.470504 and beta is 0.888590 and alpha is 0.118120
updating weights	weight sum is 0.941009	renormalizing them
boosted classifier 108 --> mstump on rgb2-colormean
6|mstump
14|rgb2-colormean
0
3
-3 -3 3 3 1
1
0 48.736443 -1
1
1 3.506495 1
0
0
1
1 48.736443 -1
0
0
error is 0.472353 and beta is 0.895205 and alpha is 0.110703
updating weights	weight sum is 0.944705	renormalizing them
boosted classifier 109 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
4
-5 -5 2 -2 -1
2 -5 5 -2 1
-5 -2 2 5 1
2 -2 5 5 -1
1
0 529.752192 1
1
1 59.135154 -1
0
0
1
1 4153.503387 -1
0
0
error is 0.470466 and beta is 0.888455 and alpha is 0.118272
updating weights	weight sum is 0.940933	renormalizing them
boosted classifier 110 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
3
1
0 11.788597 -1
1
1 3.033194 1
0
0
1
1 38.499995 1
0
0
error is 0.471309 and beta is 0.891465 and alpha is 0.114889
updating weights	weight sum is 0.942619	renormalizing them
boosted classifier 111 --> mstump on si2-harr
6|mstump
8|si2-harr
-1
3
-5 0 -2 5 -1
-2 0 1 5 2
1 0 4 5 -1
1
0 -69.311537 1
1
1 -3746.971977 -1
0
0
1
1 -41.947992 1
0
0
error is 0.470893 and beta is 0.889976 and alpha is 0.116561
updating weights	weight sum is 0.941786	renormalizing them
boosted classifier 112 --> mstump on si2-ylocation
6|mstump
13|si2-ylocation
1
0 547.636639 1
1
1 4.784367 -1
0
0
1
1 547.636639 1
0
0
error is 0.468112 and beta is 0.880097 and alpha is 0.127724
updating weights	weight sum is 0.936225	renormalizing them
boosted classifier 113 --> mstump on si2-xlocation
6|mstump
13|si2-xlocation
1
0 933.457335 -1
1
1 6.290996 1
0
0
1
1 1209.675641 1
0
0
error is 0.468375 and beta is 0.881025 and alpha is 0.126669
updating weights	weight sum is 0.936750	renormalizing them
boosted classifier 114 --> mstump on si2-txtvalue
6|mstump
12|si2-txtvalue
12
1
0 10.216361 1
1
1 2.030145 -1
0
0
1
1 139.665937 -1
0
0
error is 0.471690 and beta is 0.892827 and alpha is 0.113362
updating weights	weight sum is 0.943380	renormalizing them
boosted classifier 115 --> mstump on si2-txthistbin
6|mstump
14|si2-txthistbin
5 26 1
1
0 0.106100 1
1
1 0.100000 1
0
0
1
1 0.850856 -1
0
0
error is 0.473024 and beta is 0.8…