/adaboost/training_output.txt
Plain Text | 3846 lines | 3838 code | 8 blank | 0 comment | 0 complexity | 5664e13be90370f7a0896ff2302bcf40 MD5 | raw file
Large files files are truncated, but you can click here to view the full file
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 20reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0000.png 21reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0001.png 22reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0002.png 23reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0003.png 24reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0004.png 25reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0005.png 26reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0006.png 27reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0007.png 28reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0008.png 29reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0009.png 30reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0010.png 31reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0011.png 32reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0012.png 33reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0013.png 34reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0014.png 35reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0015.png 36reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0016.png 37reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0017.png 38reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0018.png 39reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0019.png 40reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0020.png 41reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0021.png 42reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0022.png 43reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0023.png 44reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0024.png 45reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0025.png 46reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0026.png 47reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0027.png 48reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0028.png 49reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0029.png 50reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0030.png 51reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0031.png 52reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0032.png 53reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0033.png 54reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0034.png 55reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0035.png 56reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0036.png 57reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0037.png 58reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0038.png 59reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0039.png 60reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0040.png 61reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0041.png 62reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0042.png 63reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0043.png 64reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0044.png 65reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0045.png 66reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0046.png 67reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0047.png 68reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0048.png 69reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0049.png 70reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0050.png 71reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0051.png 72reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0052.png 73reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0053.png 74reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0054.png 75reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0055.png 76reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0056.png 77reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0057.png 78reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0058.png 79reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0059.png 80reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0060.png 81reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0061.png 82reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0062.png 83reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0063.png 84reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0064.png 85reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0065.png 86reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0066.png 87reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0067.png 88reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0068.png 89reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0069.png 90reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0070.png 91reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0071.png 92reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0072.png 93reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0073.png 94reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0074.png 95reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0075.png 96reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0076.png 97reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0077.png 98reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0078.png 99reading and caching /data/panoramic_classifier/images/marketPartial/marketPartial_frame_0079.png 100reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0000.png 101reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0001.png 102reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0002.png 103reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0003.png 104reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0004.png 105reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0005.png 106reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0006.png 107reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0007.png 108reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0008.png 109reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0009.png 110reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0010.png 111reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0011.png 112reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0012.png 113reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0013.png 114reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0014.png 115reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0015.png 116reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0016.png 117reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0017.png 118reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0018.png 119reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0019.png 120reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0020.png 121reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0021.png 122reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0022.png 123reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0023.png 124reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0024.png 125reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0025.png 126reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0026.png 127reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0027.png 128reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0028.png 129reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0029.png 130reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0030.png 131reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0031.png 132reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0032.png 133reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0033.png 134reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0034.png 135reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0035.png 136reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0036.png 137reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0037.png 138reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0038.png 139reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0039.png 140reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0040.png 141reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0041.png 142reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0042.png 143reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0043.png 144reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0044.png 145reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0045.png 146reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0046.png 147reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0047.png 148reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0048.png 149reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0049.png 150reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0050.png 151reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0051.png 152reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0052.png 153reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0053.png 154reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0054.png 155reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0055.png 156reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0056.png 157reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0057.png 158reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0058.png 159reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0059.png 160reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0060.png 161reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0061.png 162reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0062.png 163reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0063.png 164reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0064.png 165reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0065.png 166reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0066.png 167reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0067.png 168reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0068.png 169reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0069.png 170reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0070.png 171reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0071.png 172reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0072.png 173reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0073.png 174reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0074.png 175reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0075.png 176reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0076.png 177reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0077.png 178reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0078.png 179reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0079.png 180reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0080.png 181reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0081.png 182reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0082.png 183reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0083.png 184reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0084.png 185reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0085.png 186reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0086.png 187reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0087.png 188reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0088.png 189reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0089.png 190reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0090.png 191reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0091.png 192reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0092.png 193reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0093.png 194reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0094.png 195reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0095.png 196reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0096.png 197reading and caching /data/panoramic_classifier/images/main_street/main_street_frame_0097.png 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…
Large files files are truncated, but you can click here to view the full file