가상환경 생성과 주피터 노트북 실행
파워셀에서 설치한 xgboost를 import가능
4.6 XGBoost 실습
악성1 양성0 비율이 3:2정도
[0] train-logloss:0.62480 eval-logloss:0.63104 [1] train-logloss:0.58674 eval-logloss:0.60478 [2] train-logloss:0.55226 eval-logloss:0.58223 [3] train-logloss:0.52086 eval-logloss:0.56184 [4] train-logloss:0.49192 eval-logloss:0.54118 [5] train-logloss:0.46537 eval-logloss:0.52223 [6] train-logloss:0.44029 eval-logloss:0.50287 [7] train-logloss:0.41666 eval-logloss:0.48620 [8] train-logloss:0.39525 eval-logloss:0.46974 [9] train-logloss:0.37542 eval-logloss:0.45497 [10] train-logloss:0.35701 eval-logloss:0.44131 [11] train-logloss:0.33982 eval-logloss:0.43134 [12] train-logloss:0.32297 eval-logloss:0.41972 [13] train-logloss:0.30725 eval-logloss:0.40902 [14] train-logloss:0.29327 eval-logloss:0.39883 [15] train-logloss:0.27946 eval-logloss:0.38968 [16] train-logloss:0.26691 eval-logloss:0.38150 [17] train-logloss:0.25473 eval-logloss:0.37368 [18] train-logloss:0.24385 eval-logloss:0.36666 [19] train-logloss:0.23338 eval-logloss:0.35994 [20] train-logloss:0.22320 eval-logloss:0.35374 [21] train-logloss:0.21363 eval-logloss:0.34704 [22] train-logloss:0.20487 eval-logloss:0.34206 [23] train-logloss:0.19634 eval-logloss:0.33621 [24] train-logloss:0.18830 eval-logloss:0.33178 [25] train-logloss:0.18093 eval-logloss:0.32774 [26] train-logloss:0.17374 eval-logloss:0.32297 [27] train-logloss:0.16695 eval-logloss:0.31855 [28] train-logloss:0.16059 eval-logloss:0.31495 [29] train-logloss:0.15450 eval-logloss:0.31173 [30] train-logloss:0.14875 eval-logloss:0.30735 [31] train-logloss:0.14329 eval-logloss:0.30463 [32] train-logloss:0.13807 eval-logloss:0.30242 [33] train-logloss:0.13325 eval-logloss:0.29922 [34] train-logloss:0.12864 eval-logloss:0.29722 [35] train-logloss:0.12429 eval-logloss:0.29540 [36] train-logloss:0.12000 eval-logloss:0.29300 [37] train-logloss:0.11581 eval-logloss:0.29010 [38] train-logloss:0.11210 eval-logloss:0.28883 [39] train-logloss:0.10838 eval-logloss:0.28769 [40] train-logloss:0.10481 eval-logloss:0.28574 [41] train-logloss:0.10160 eval-logloss:0.28434 [42] train-logloss:0.09832 eval-logloss:0.28226 [43] train-logloss:0.09534 eval-logloss:0.28006 [44] train-logloss:0.09249 eval-logloss:0.27854 [45] train-logloss:0.08972 eval-logloss:0.27747 [46] train-logloss:0.08700 eval-logloss:0.27654 [47] train-logloss:0.08461 eval-logloss:0.27598 [48] train-logloss:0.08225 eval-logloss:0.27415 [49] train-logloss:0.08001 eval-logloss:0.27245 [50] train-logloss:0.07784 eval-logloss:0.27104 [51] train-logloss:0.07578 eval-logloss:0.26958 [52] train-logloss:0.07384 eval-logloss:0.26869 [53] train-logloss:0.07196 eval-logloss:0.26760 [54] train-logloss:0.07021 eval-logloss:0.26661 [55] train-logloss:0.06833 eval-logloss:0.26680 [56] train-logloss:0.06671 eval-logloss:0.26517 [57] train-logloss:0.06519 eval-logloss:0.26412 [58] train-logloss:0.06368 eval-logloss:0.26444 [59] train-logloss:0.06202 eval-logloss:0.26434 [60] train-logloss:0.06048 eval-logloss:0.26208 [61] train-logloss:0.05898 eval-logloss:0.26139 [62] train-logloss:0.05756 eval-logloss:0.26155 [63] train-logloss:0.05614 eval-logloss:0.26114 [64] train-logloss:0.05486 eval-logloss:0.25973 [65] train-logloss:0.05372 eval-logloss:0.25878 [66] train-logloss:0.05263 eval-logloss:0.25758 [67] train-logloss:0.05140 eval-logloss:0.25664 [68] train-logloss:0.05019 eval-logloss:0.25625 [69] train-logloss:0.04910 eval-logloss:0.25593 [70] train-logloss:0.04806 eval-logloss:0.25438 [71] train-logloss:0.04704 eval-logloss:0.25373 [72] train-logloss:0.04606 eval-logloss:0.25411 [73] train-logloss:0.04514 eval-logloss:0.25316 [74] train-logloss:0.04435 eval-logloss:0.25248 [75] train-logloss:0.04347 eval-logloss:0.25271 [76] train-logloss:0.04260 eval-logloss:0.25282 [77] train-logloss:0.04178 eval-logloss:0.25165 [78] train-logloss:0.04099 eval-logloss:0.25181 [79] train-logloss:0.04022 eval-logloss:0.25210 [80] train-logloss:0.03942 eval-logloss:0.25194 [81] train-logloss:0.03875 eval-logloss:0.25254 [82] train-logloss:0.03799 eval-logloss:0.25264 [83] train-logloss:0.03727 eval-logloss:0.25280 [84] train-logloss:0.03657 eval-logloss:0.25281 [85] train-logloss:0.03586 eval-logloss:0.25219 [86] train-logloss:0.03530 eval-logloss:0.25288 [87] train-logloss:0.03464 eval-logloss:0.25226 [88] train-logloss:0.03401 eval-logloss:0.25167 [89] train-logloss:0.03347 eval-logloss:0.25258 [90] train-logloss:0.03297 eval-logloss:0.25331 [91] train-logloss:0.03240 eval-logloss:0.25373 [92] train-logloss:0.03184 eval-logloss:0.25323 [93] train-logloss:0.03136 eval-logloss:0.25240 [94] train-logloss:0.03086 eval-logloss:0.25324 [95] train-logloss:0.03035 eval-logloss:0.25280 [96] train-logloss:0.02985 eval-logloss:0.25215 [97] train-logloss:0.02937 eval-logloss:0.25179 [98] train-logloss:0.02892 eval-logloss:0.25143 [99] train-logloss:0.02853 eval-logloss:0.25180 [100] train-logloss:0.02810 eval-logloss:0.25151 [101] train-logloss:0.02769 eval-logloss:0.25158 [102] train-logloss:0.02729 eval-logloss:0.25130 [103] train-logloss:0.02689 eval-logloss:0.25094 [104] train-logloss:0.02654 eval-logloss:0.25054 [105] train-logloss:0.02617 eval-logloss:0.25030 [106] train-logloss:0.02580 eval-logloss:0.24850 [107] train-logloss:0.02545 eval-logloss:0.24829 [108] train-logloss:0.02509 eval-logloss:0.24828 [109] train-logloss:0.02475 eval-logloss:0.24881 [110] train-logloss:0.02443 eval-logloss:0.24912 [111] train-logloss:0.02405 eval-logloss:0.24791 [112] train-logloss:0.02374 eval-logloss:0.24846 [113] train-logloss:0.02341 eval-logloss:0.24931 [114] train-logloss:0.02314 eval-logloss:0.24832 [115] train-logloss:0.02286 eval-logloss:0.24889 [116] train-logloss:0.02255 eval-logloss:0.24866 [117] train-logloss:0.02227 eval-logloss:0.24925 [118] train-logloss:0.02197 eval-logloss:0.24679 [119] train-logloss:0.02172 eval-logloss:0.24787 [120] train-logloss:0.02141 eval-logloss:0.24846 [121] train-logloss:0.02112 eval-logloss:0.24683 [122] train-logloss:0.02088 eval-logloss:0.24650 [123] train-logloss:0.02061 eval-logloss:0.24497 [124] train-logloss:0.02037 eval-logloss:0.24529 [125] train-logloss:0.02012 eval-logloss:0.24516 [126] train-logloss:0.01987 eval-logloss:0.24576 [127] train-logloss:0.01967 eval-logloss:0.24576 [128] train-logloss:0.01943 eval-logloss:0.24563 [129] train-logloss:0.01922 eval-logloss:0.24533 [130] train-logloss:0.01900 eval-logloss:0.24591 [131] train-logloss:0.01881 eval-logloss:0.24593 [132] train-logloss:0.01858 eval-logloss:0.24582 [133] train-logloss:0.01839 eval-logloss:0.24619 [134] train-logloss:0.01824 eval-logloss:0.24631 [135] train-logloss:0.01805 eval-logloss:0.24669 [136] train-logloss:0.01785 eval-logloss:0.24660 [137] train-logloss:0.01770 eval-logloss:0.24584 [138] train-logloss:0.01753 eval-logloss:0.24465 [139] train-logloss:0.01734 eval-logloss:0.24458 [140] train-logloss:0.01720 eval-logloss:0.24385 [141] train-logloss:0.01703 eval-logloss:0.24422 [142] train-logloss:0.01690 eval-logloss:0.24423 [143] train-logloss:0.01673 eval-logloss:0.24408 [144] train-logloss:0.01655 eval-logloss:0.24381 [145] train-logloss:0.01641 eval-logloss:0.24311 [146] train-logloss:0.01629 eval-logloss:0.24322 [147] train-logloss:0.01614 eval-logloss:0.24360 [148] train-logloss:0.01597 eval-logloss:0.24328 [149] train-logloss:0.01582 eval-logloss:0.24314 [150] train-logloss:0.01571 eval-logloss:0.24315 [151] train-logloss:0.01556 eval-logloss:0.24289 [152] train-logloss:0.01537 eval-logloss:0.24363 [153] train-logloss:0.01523 eval-logloss:0.24404 [154] train-logloss:0.01510 eval-logloss:0.24383 [155] train-logloss:0.01493 eval-logloss:0.24435 [156] train-logloss:0.01478 eval-logloss:0.24425 [157] train-logloss:0.01467 eval-logloss:0.24361 [158] train-logloss:0.01455 eval-logloss:0.24294 [159] train-logloss:0.01440 eval-logloss:0.24340 [160] train-logloss:0.01428 eval-logloss:0.24323 [161] train-logloss:0.01417 eval-logloss:0.24310 [162] train-logloss:0.01409 eval-logloss:0.24247 [163] train-logloss:0.01393 eval-logloss:0.24311 [164] train-logloss:0.01380 eval-logloss:0.24269 [165] train-logloss:0.01368 eval-logloss:0.24268 [166] train-logloss:0.01360 eval-logloss:0.24242 [167] train-logloss:0.01345 eval-logloss:0.24306 [168] train-logloss:0.01335 eval-logloss:0.24220 [169] train-logloss:0.01328 eval-logloss:0.24116 [170] train-logloss:0.01317 eval-logloss:0.24117 [171] train-logloss:0.01308 eval-logloss:0.24126 [172] train-logloss:0.01299 eval-logloss:0.24046 [173] train-logloss:0.01292 eval-logloss:0.23993 [174] train-logloss:0.01284 eval-logloss:0.23985 [175] train-logloss:0.01275 eval-logloss:0.23994 [176] train-logloss:0.01268 eval-logloss:0.23986 [177] train-logloss:0.01260 eval-logloss:0.23996 [178] train-logloss:0.01253 eval-logloss:0.23943 [179] train-logloss:0.01243 eval-logloss:0.23847 [180] train-logloss:0.01236 eval-logloss:0.23842 [181] train-logloss:0.01226 eval-logloss:0.23885 [182] train-logloss:0.01220 eval-logloss:0.23828 [183] train-logloss:0.01214 eval-logloss:0.23892 [184] train-logloss:0.01205 eval-logloss:0.23804 [185] train-logloss:0.01198 eval-logloss:0.23799 [186] train-logloss:0.01191 eval-logloss:0.23809 [187] train-logloss:0.01185 eval-logloss:0.23752 [188] train-logloss:0.01176 eval-logloss:0.23662 [189] train-logloss:0.01170 eval-logloss:0.23659 [190] train-logloss:0.01163 eval-logloss:0.23668 [191] train-logloss:0.01157 eval-logloss:0.23732 [192] train-logloss:0.01152 eval-logloss:0.23726 [193] train-logloss:0.01146 eval-logloss:0.23722 [194] train-logloss:0.01141 eval-logloss:0.23715 [195] train-logloss:0.01136 eval-logloss:0.23661 [196] train-logloss:0.01128 eval-logloss:0.23673 [197] train-logloss:0.01126 eval-logloss:0.23651 [198] train-logloss:0.01120 eval-logloss:0.23628 [199] train-logloss:0.01113 eval-logloss:0.23641 [200] train-logloss:0.01108 eval-logloss:0.23554 [201] train-logloss:0.01103 eval-logloss:0.23533 [202] train-logloss:0.01097 eval-logloss:0.23543 [203] train-logloss:0.01091 eval-logloss:0.23546 [204] train-logloss:0.01086 eval-logloss:0.23588 [205] train-logloss:0.01079 eval-logloss:0.23600 [206] train-logloss:0.01074 eval-logloss:0.23578 [207] train-logloss:0.01069 eval-logloss:0.23597 [208] train-logloss:0.01064 eval-logloss:0.23601 [209] train-logloss:0.01058 eval-logloss:0.23613 [210] train-logloss:0.01054 eval-logloss:0.23592 [211] train-logloss:0.01047 eval-logloss:0.23605 [212] train-logloss:0.01045 eval-logloss:0.23586 [213] train-logloss:0.01041 eval-logloss:0.23626 [214] train-logloss:0.01036 eval-logloss:0.23646 [215] train-logloss:0.01031 eval-logloss:0.23649 [216] train-logloss:0.01026 eval-logloss:0.23697 [217] train-logloss:0.01024 eval-logloss:0.23679 [218] train-logloss:0.01019 eval-logloss:0.23689 [219] train-logloss:0.01014 eval-logloss:0.23693 [220] train-logloss:0.01011 eval-logloss:0.23714 [221] train-logloss:0.01006 eval-logloss:0.23732 [222] train-logloss:0.01004 eval-logloss:0.23714 [223] train-logloss:0.01001 eval-logloss:0.23736 [224] train-logloss:0.00999 eval-logloss:0.23711 [225] train-logloss:0.00997 eval-logloss:0.23703 [226] train-logloss:0.00994 eval-logloss:0.23757 [227] train-logloss:0.00992 eval-logloss:0.23740 [228] train-logloss:0.00986 eval-logloss:0.23673 [229] train-logloss:0.00984 eval-logloss:0.23649 [230] train-logloss:0.00981 eval-logloss:0.23670 [231] train-logloss:0.00979 eval-logloss:0.23653 [232] train-logloss:0.00975 eval-logloss:0.23671 [233] train-logloss:0.00971 eval-logloss:0.23674 [234] train-logloss:0.00968 eval-logloss:0.23696 [235] train-logloss:0.00966 eval-logloss:0.23673 [236] train-logloss:0.00964 eval-logloss:0.23656 [237] train-logloss:0.00961 eval-logloss:0.23708 [238] train-logloss:0.00957 eval-logloss:0.23764 [239] train-logloss:0.00954 eval-logloss:0.23766 [240] train-logloss:0.00949 eval-logloss:0.23778 [241] train-logloss:0.00948 eval-logloss:0.23775 [242] train-logloss:0.00945 eval-logloss:0.23796 [243] train-logloss:0.00943 eval-logloss:0.23780 [244] train-logloss:0.00941 eval-logloss:0.23827 [245] train-logloss:0.00940 eval-logloss:0.23819 [246] train-logloss:0.00937 eval-logloss:0.23840 [247] train-logloss:0.00935 eval-logloss:0.23838 [248] train-logloss:0.00933 eval-logloss:0.23821 [249] train-logloss:0.00931 eval-logloss:0.23872 [250] train-logloss:0.00925 eval-logloss:0.23805250에서 중단됨
여기까지 실습예정..
실행중인 노트북 중단
