基于机器学习大数据挖掘的饮食推荐小程序源码+项目说明(课程设计).zip

tree version=v2 num_class=1 num_tree_per_iteration=1 label_index=0 max_feature_idx=192 objective=regression feature_names=111 112 113 114 115 120 121 122 123 124 131 132 141 142 151 152 190 192 211 212 213 221 222 311 312 313 314 315 321 322 331 332 341 351 352 391 392 393 411 412 413 414 421 422 431 432 441 442 443 444 445 451 452 453 454 460 471 472 473 480 510 520 611 612 613 619 621 622 623 629 631 632 633 639 641 642 643 650 661 662 710 720 811 812 813 814 821 822 823 831 832 833 841 842 843 890 911 912 913 921 922 923 931 932 933 942 943 990 1011 1012 1013 1021 1022 1030 1040 1050 1090 1111 1112 1121 1122 1131 1141 1211 1212 1213 1214 1221 1222 1223 1230 1241 1242 1243 1290 1293 1310 1311 1312 1313 1330 1410 1419 1421 1422 1423 1510 1521 1522 1523 1524 1525 1530 1531 1532 1533 1534 1610 1619 1620 1640 1650 1661 1662 1670 1680 1690 1711 1712 1713 1721 1810 1820 1821 1822 1823 1824 1830 1840 1910 1920 2010 2020 2031 2032 2040 2050 2060 2071 2072 2074 2110 2190 feature_infos=[0:360] 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1328 1333 1330 1342 1324 1343 1318 1320 1322 1350 1358 1372 1337 1355 1325 1333 1328 1343 1334 1342 1335 1329 1339 1336 1326 1327 1332 1344 1341 1332 1325 1318 1333 1332 1334 1339 1328 1343 1345 1313 1329 1338 1327 1331 1329 1333 1325 1335 1342 1350 1348 1343 1354 1345 1350 1348 1333 1339 1349 1333 1333 1338 1332 1332 1340 1349 1332 1339 1344 1344 1312 1341 1338 1324 1332 1332 1330 1331 1330 1348 1334 1320 1349 1336 1348 1350 1338 1347 1335 1334 1337 1339 1339 1324 1335 1337 1338 1325 1334 1334 1350 1341 1331 1337 1328 1338 1325 1333 1324 1321 1325 1326 1312 1312 1339 1329 1338 1337 1336 1339 1349 1358 1349 1330 1337 1345 1339 1349 1341 1356 1329 1341 1333 1341 1334 1339 1337 1333 1341 1334 1333 1336 1344 1328 1335 1335 1337 1352 1355 1339 1336 1347 1336 1351 1334 1343 1336 1332 1344 1345 1359 1349 1352 1357 1322 1335 1347 1337 1328 1344 1319 1353 1328 1342 1327 1324 1336 1344 1343 1340 1336 1323 1331 1344 Tree=0 num_leaves=16 num_cat=0 split_feature=3 56 8 79 96 82 51 52 124 86 5 117 117 53 38 split_gain=1408.54 1291.07 900.568 765.358 747.937 744.673 686.89 852.437 870.52 664.248 609.7 646.188 1389.64 604.845 598.611 threshold=84.000000000000014 110.00000000000001 1.0000000180025095e-35 355.00000000000006 102.50000000000001 56.500000000000007 182.50000000000003 12.500000000000002 1.0000000180025095e-35 52.500000000000007 365.00000000000006 232.50000000000003 74.000000000000014 17.500000000000004 11.000000000000002 decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 left_child=1 5 3 4 6 13 7 8 10 -8 11 12 -2 -1 -14 right_child=2 -3 -4 -5 -6 -7 9 -9 -10 -11 -12 -13 14 -15 -16 leaf_value=93.457718726489276 93.482073567113346 93.175497983186403 93.196526277004637 93.609989931708611 93.588413375213435 93.605045189720698 93.50478108058806 93.531447052098457 93.269271483330002 93.684361959008299 93.581666718784561 93.589016618838301 93.321498758738926 93.615893427611013 93.043228466084088 leaf_count=184 194 20 24 157 183 809 459 228 85 58 68 49 121 90 23 internal_value=0 0.925818 -0.534042 -0.444231 -0.668667 1.07284 -0.938034 -1.5379 -2.22248 -0.0469321 -1.6737 -2.15893 -2.65093 -0.352003 -5.00443 internal_count=2752 1103 1649 1625 1468 1083 1285 768 540 517 455 387 338 274 144 shrinkage=1 Tree=1 num_leaves=16 num_cat=0 split_feature=3 56 8 79 82 18 86 55 5 27 45 123 60 151 151 split_gain=1271.21 1165.19 812.762 690.736 672.068 640.73 502.289 566.266 582.741 563.038 452.022 445.868 792.804 465.301 853.137 threshold=84.000000000000014 110.00000000000001 1.0000000180025095e-35 355.00000000000006 56.500000000000007 655.00000000000011 221.00000000000003 45.000000000000007 602.50000000000011 197.50000000000003 204.50000000000003 162.50000000000003 17.500000000000004 422.00000000000006 660.00000000000011 decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 left_child=1 4 3 5 10 6 7 8 9 11 -1 13 -13 -2 -15 right_child=2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 12 -14 14 -16 leaf_value=0.0098317943712393965 -0.033319068126613276 -0.33418730258941653 -0.31421041339635852 0.078580045225513984 0.073882540493480614 0.17087630378572566 0.16192397340651482 0.07247997553336738 0.089889180570358551 -0.24789144036016966 -0.17204910159111023 -0.048450340984053299 -0.34975819954621223 -0.28536626106271379 0.015660578566928245 leaf_count=234 1000 20 24 157 809 38 31 101 70 38 40 61 34 52 43 internal_value=0 0.879527 -0.50734 -0.42202 1.0192 -0.635234 -0.74293 -0.831152 -1.00862 -1.1686 -0.334403 -1.0476 -3.12574 -0.867301 -2.98224 internal_count=2752 1103 1649 1625 1083 1468 1430 1399 1298 1228 274 1190 95 1095 95 shrinkage=0.05 Tree=2 num_leaves=16 num_cat=0 split_feature=28 30 82 127 81 38 146 141 1 26 124 51 63 18 27 split_gain=969.762 670.937 653.038 738.873 516.217 699.13 556.234 552.038 547.948 532.446 568.788 590.762 550.857 512.884 647.258 threshold=22.500000000000004 32.500000000000007 56.500000000000007 47.500000000000007 37.500000000000007 137.50000000000003 1.0000000180025095e-35 22.500000000000004 127.50000000000001 155.00000000000003 65.000000000000014 126.500