vowel.data

Logitboost 是一种改进的boosting算法

0 5 1 -2.875 0.868 -0.728 1.439 0.355 0.846 -0.378 -0.233 -1.072 0.505  2
0 5 1 -2.612 1.403 -0.870 0.470 -0.448 0.172 -0.060 -0.656 -0.334 0.087  3
0 5 1 -2.859 2.255 -0.676 0.098 -1.086 0.041 0.732 0.305 -0.141 -0.636  4
0 5 1 -2.497 1.692 -0.607 0.020 -0.710 0.612 0.093 0.272 -0.060 -0.507  5
0 5 1 -3.236 2.745 -0.806 -0.200 -0.386 0.358 0.889 0.516 -0.297 -1.075  6
0 5 1 -4.188 3.229 -0.456 1.077 -1.385 -0.104 0.459 0.558 0.701 -0.320  7
0 5 1 -3.775 2.188 -1.017 0.687 -0.464 1.189 -0.157 1.673 -0.024 -1.144  8
0 5 1 -4.744 3.385 -0.886 0.571 0.235 0.183 0.357 0.040 0.203 -1.680  9
0 5 1 -3.046 1.462 -0.823 0.935 -0.440 0.849 0.085 0.865 -0.178 -0.954 10
0 5 1 -3.594 -0.137 -0.028 1.018 1.069 0.723 0.695 -0.982 -1.433 0.249  0
0 5 1 -3.426 0.584 -0.469 1.776 0.566 1.686 0.070 0.081 -1.483 -0.141  1
0 5 1 -3.086 1.010 -0.627 1.508 0.338 0.747 -0.479 -0.323 -1.087 0.645  2
0 5 1 -2.750 1.475 -0.848 0.364 -0.275 0.020 -0.003 -0.782 -0.291 0.167  3
0 5 1 -2.846 2.430 -0.780 -0.153 -0.905 0.240 0.746 0.140 -0.114 -0.746  4
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0 5 1 -4.175 3.320 -0.446 0.988 -1.480 0.133 0.507 0.605 0.691 -0.462  7
0 5 1 -3.777 2.064 -0.983 0.846 -0.373 0.960 -0.040 1.331 0.247 -1.090  8
0 5 1 -4.788 3.632 -0.710 0.300 0.366 -0.121 0.403 -0.016 0.124 -1.320  9
0 5 1 -3.006 1.407 -0.875 0.945 -0.495 0.721 0.212 0.750 -0.037 -1.054 10
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0 5 1 -3.394 0.557 -0.573 1.704 0.608 1.644 0.109 0.200 -1.507 -0.225  1
0 5 1 -3.091 0.935 -0.574 1.360 0.416 0.764 -0.480 -0.144 -1.295 0.696  2
0 5 1 -2.850 1.446 -0.792 0.482 -0.365 0.046 -0.029 -0.761 -0.251 0.113  3
0 5 1 -2.884 2.424 -0.764 -0.108 -1.015 0.361 0.712 0.133 -0.017 -0.847  4
0 5 1 -2.656 1.263 -0.527 0.464 -0.612 0.668 -0.160 0.857 -0.416 -0.596  5
0 5 1 -3.246 2.796 -0.867 -0.205 -0.316 0.808 0.824 0.062 -0.118 -0.749  6
0 5 1 -4.172 3.188 -0.375 1.028 -1.410 0.008 0.513 0.635 0.802 -0.280  7
0 5 1 -3.862 1.801 -0.717 1.133 -0.230 0.922 -0.223 1.264 0.194 -0.935  8
0 5 1 -4.836 3.871 -0.684 0.182 0.349 -0.176 0.317 0.059 -0.024 -1.130  9
0 5 1 -2.973 1.304 -0.849 0.984 -0.508 0.590 0.248 0.728 0.073 -1.107 10
0 5 1 -3.858 0.115 0.050 1.170 0.975 0.703 0.585 -1.191 -1.172 -0.076  0
0 5 1 -3.404 0.506 -0.591 1.627 0.660 1.456 0.068 0.381 -1.494 -0.453  1
0 5 1 -2.952 0.777 -0.740 1.311 0.424 0.853 -0.319 -0.082 -1.456 0.616  2
0 5 1 -3.005 1.472 -0.716 0.535 -0.392 0.054 -0.054 -0.686 -0.290 0.153  3
0 5 1 -2.898 2.421 -0.810 -0.043 -1.164 0.448 0.690 0.218 -0.078 -0.876  4
0 5 1 -2.906 1.102 -0.491 0.575 -0.386 0.771 -0.134 0.977 -0.540 -0.604  5
0 5 1 -3.462 2.648 -0.447 -0.000 -0.416 0.767 0.569 -0.072 -0.080 -0.798  6
0 5 1 -4.076 3.336 -0.688 0.677 -1.472 0.461 0.682 0.724 0.717 -0.409  7
0 5 1 -3.846 1.426 -0.607 1.434 -0.072 1.130 -0.535 1.159 -0.123 -0.385  8
0 5 1 -4.885 3.967 -0.948 0.373 0.255 -0.121 0.430 -0.013 0.018 -1.518  9
0 5 1 -2.980 1.290 -0.842 0.955 -0.491 0.572 0.267 0.692 0.084 -1.100 10
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0 6 1 -2.210 0.661 -0.581 1.139 0.238 0.074 -0.625 -0.366 -0.326 0.557  2
0 6 1 -1.885 2.214 -0.673 0.147 -0.148 -0.400 0.252 -0.098 -0.874 0.245  3
0 6 1 -2.488 2.822 -0.239 -0.330 -1.355 0.284 0.101 0.934 -0.966 -0.310  4
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0 6 1 -2.665 1.633 -0.384 -0.111 -0.001 0.234 0.033 0.478 -1.558 0.219 10
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0 6 1 -2.889 -0.039 -0.494 0.719 1.104 1.003 -0.415 0.097 -0.855 0.356  1
0 6 1 -2.282 0.673 -0.798 1.286 0.308 0.010 -0.411 -0.610 -0.266 0.584  2
0 6 1 -1.985 2.161 -0.601 0.424 -0.295 -0.489 0.208 -0.216 -0.562 0.079  3
0 6 1 -2.563 2.829 -0.283 -0.368 -1.593 0.408 0.121 0.933 -0.946 -0.356  4
0 6 1 -2.415 2.517 -0.285 0.085 -0.902 0.283 0.302 0.247 -1.207 0.371  5
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0 6 1 -4.384 3.721 -0.905 -0.965 -0.160 0.498 0.809 0.660 -0.613 -0.831  7
0 6 1 -4.107 2.170 0.206 -0.811 0.334 0.633 0.402 1.097 -1.327 -0.040  8
0 6 1 -5.069 2.119 0.826 -0.274 0.576 0.145 0.308 1.001 -1.412 -0.306  9
0 6 1 -2.812 1.954 -0.661 0.109 -0.011 0.110 0.187 0.096 -1.538 0.592 10
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0 6 1 -3.152 0.086 -0.325 0.868 1.084 0.753 -0.522 -0.005 -0.821 0.483  1
0 6 1 -2.558 0.755 -0.660 1.366 0.038 -0.011 -0.443 -0.531 -0.062 0.418  2
0 6 1 -2.010 2.164 -0.626 0.389 -0.240 -0.441 0.103 -0.270 -0.647 0.165  3
0 6 1 -2.601 2.735 -0.322 -0.255 -1.670 0.229 0.202 1.010 -0.871 -0.461  4
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0 6 1 -2.930 2.014 -0.700 0.206 -0.088 0.153 0.142 -0.031 -1.437 0.615 10
0 6 1 -4.247 -0.034 0.248 1.372 1.831 1.167 0.087 -0.518 -0.316 0.347  0
0 6 1 -3.183 0.154 -0.413 0.923 1.091 0.582 -0.447 -0.085 -0.904 0.693  1
0 6 1 -2.514 0.558 -0.777 1.299 0.027 0.247 -0.487 -0.653 -0.028 0.481  2
0 6 1 -2.041 2.119 -0.585 0.549 -0.430 -0.291 -0.002 -0.234 -0.751 0.253  3
0 6 1 -2.640 2.704 -0.345 -0.230 -1.649 0.064 0.275 0.952 -0.651 -0.571  4
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0 7 1 -4.151 2.069 -0.605 0.111 0.410 0.354 -0.284 -0.381 -0.507 0.737 10
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0 7 1 -3.581 1.188 -0.958 0.189 -0.077 0.451 0.049 0.449 -0.676 0.919  3
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0 7 1 -4.316 1.272 -0.087 1.285 0.126 -0.128 -0.286 -0.463 -0.294 0.691  2
0 7 1 -3.622 1.111 -0.972 0.399 -0.402 0.527 0.271 0.373 -0.716 0.943  3
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0 7 1 -4.169 1.799 -0.621 0.025 0.706 0.362 -0.343 -0.049 -0.339 0.220 10
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0 7 1 -4.544 1.672 0.643 1.281 0.504 -0.803 -0.709 -0.229 -0.546 1.058  1
0 7 1 -4.426 1.167 0.008 1.315 0.189 -0.297 -0.124 -0.244 -0.423 0.684  2
0 7 1 -3.622 0.988 -1.108 0.685 -0.693 0.754 0.442 0.166 -0.458 0.738  3
0 7 1 -3.597 2.146 -1.492 -0.142 -0.297 0.815 0.870 -0.490 -0.471 0.410  4
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0 7 1 -4.513 4.265 -1.477 -1.090 0.215 0.829 0.342 0.693 -0.601 -0.056  7
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0 7 1 -5.034 4.993 -1.633 -0.285 0.398 0.181 -0.211 -0.508 -0.283 0.304  9
0 7 1 -4.261 1.827 -0.482 -0.194 0.731 0.354 -0.478 0.050 -0.112 0.321 10
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1 8 0 -2.613 -0.092 -0.540 0.484 0.389 1.741 0.198 0.257 -0.375 -0.604  1
1 8 0 -2.505 0.632 -0.593 0.304 0.496 0.824 -0.162 0.181 -0.363 -0.764  2