/adaboost/training_output.txt
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- 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…
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