tree
version=v3
num_class=1
num_tree_per_iteration=1
label_index=0
max_feature_idx=5
objective=binary sigmoid:1
feature_names=Age early_advanced_early pathology_Nodular_Sclerosis_cHL pathology_others B_symptoms_Yes radio_Yes
feature_infos=[-1.7854159335024227:2.4256287514808359] [0:1] none none [0:1] [0:1]
tree_sizes=351 351 349 351 350 352 351 350 351 351 352 351 350 350 349 353 353 353 352 353 353 352 352 353 354 353 354 354 351 353 353 352 350 351 352 351 350 350 354 350 353 354 353 353 353 353 352 353 353 353 353 353 352 352 354 352 354 352 352 354 353 354 354 354 355 355 351 353 353 353 354 353 354 354 352 354 352 353 351 355 352 354 354 350 356 351 350 351 353 354 354 354 355 355 352 351 353 352 351 351 353 355 355 354 356 352 356 353 356 354 357 357 356 354 352 355 355 354 355 355 357 357 358 352 357 356 357 357 346 353 354 353 355 357 355 357 357 357 357 357 354 356 355 354 355 355 358 354 357 357 356 357 355 355 355 355 355 356 353 353 354 354 353 354 355 351 356 352 350 352 352 353 355 354 354 355 357 353 358 354 354 353 354 353 352 353 353 356 354 356 355 353 356 354 354 352 356 355 356 355 354 354 354 356 356 357 357 356 353 352 355 355 355 357 357 357 357 357 355 357 352 352 352 357 356 356 356 357 354 354 353 354 356 355 357 357 356 356 356 355 351 353 352 353 356 356 356 355 359 359 353 352 355 357 356 357 357 355 354 355 358 354 352 354 358 357 359 357 355 357 356 355 358 355 358 353 355 356 357 357 356 352 354 351 356 353 354 357 352 355 355 358 356 357 357 357 354 354 356 355 358 358 358 355 353 354 356 354 352 355 353 354 354 358 353 353 356 356 356 354 355 355 356 356 357 354 354 357 353 352 357 353 357 354 354 355 357 354 355 354 358 358 358 358 354 354 354 355 357 355 356 355 355 355 356 355 357 356 357 357 354 353 354 354 356 357 356 356 352 354 354 357 356 356 359 358 352 353 351 357 354 359 354 353 353 352 352 353 357 351 356 355 354 355 355 353 353 356 353 356 356 356 354 356 357 354 354 355 355 356 356 359 356 356 355 357 356 356 355 357 357 356 357 355 354 354 357 352 357 357 359 356 355 355 355 356 354 354 353 357 354 357 354 356 353 357 357 355 354 357 358 358 356 355 358 354 354 355 354 352 353 353 358 359 355 355 355 355 353 354 354 352 353 354 357 354 354 354 354 355 353 354 354 353 358 353 354 353 355 357 357 356 355 355 354 355 357 353 353 359 352 352 353 354 356 356 357 352 355 358 353 356 353 353 354 357 359 357 355 356 352 352 354 353 354 356 356 355 357 352 352 353 355 356 355 356 355 355 357 357 355 357 352 357 352 358 356 358 352 354 354 356 356 356 356 356 355 356 359 356 357 354 353 351 350 358 352 358

Tree=0
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split_feature=4
split_gain=12.3741
threshold=1.0000000180025095e-35
decision_type=2
left_child=-1
right_child=-2
leaf_value=-0.060384100818863667 -0.0245624788162585
leaf_weight=11.744526728987694 12.993944466114044
leaf_count=47 52
internal_value=-0.0431722
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is_linear=0
shrinkage=1

Tree=1
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leaf_value=-0.016784163697448239 0.018133211997408163
leaf_weight=11.739295780658722 12.998039603233337
internal_value=0
shrinkage=0.0252925

Tree=2
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Tree=3
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Tree=4
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threshold=-0.074481511237905737
leaf_value=-0.022662147440306268 0.012341162382439916
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Tree=5
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Tree=6
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Tree=7
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Tree=8
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Tree=9
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leaf_weight=15.975010871887207 12.448574438691139
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Tree=10
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Tree=11
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Tree=12
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Tree=13
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Tree=14
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Tree=15
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Tree=16
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internal_count=112

Tree=17
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Tree=18
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Tree=19
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leaf_weight=13.309795439243317 14.393070876598358
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Tree=20
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leaf_weight=16.143459424376488 11.294112637639047
leaf_count=65 46
internal_count=111

Tree=21
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leaf_weight=12.283695951104164 15.127826601266861
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Tree=22
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Tree=23
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Tree=24
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Tree=25
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Tree=26
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leaf_weight=12.186116442084312 13.865082830190659

Tree=27
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Tree=28
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leaf_weight=9.9247849583625811 15.830000668764113
leaf_count=41 64
internal_count=105

Tree=29
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leaf_weight=9.8892651349306124 15.826771080493925

Tree=30
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leaf_value=-0.018429666396003627 0.0071370912606355009
leaf_weight=12.34407839179039 13.331226035952568
leaf_count=51 54

Tree=31
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split_gain=8.1826
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leaf_weight=9.8306329250335711 15.808868631720541

Tree=32
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leaf_weight=10.071223184466364 17.99564266204834
leaf_count=42 73
internal_count=115

Tree=33
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split_gain=7.91306
leaf_value=-0.013317021320678739 0.014705851455175634
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Tree=34
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leaf_value=-0.013010926017326891 0.014346420442305724
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Tree=35
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leaf_weight=16.431550949811935 11.51874426007271
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Tree=36
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leaf_value=-0.012457555326945674 0.010617981407194879
leaf_weight=12.202987283468248 15.001940369606016
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Tree=37
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leaf_value=-0.012163023594564708 0.010357569204276607
leaf_weight=12.182630762457849 14.990295842289923

Tree=38
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leaf_weight=16.413686856627464 10.726436957716944
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Tree=39
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Tree=40
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leaf_weight=13.186098113656044 14.622049525380135
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Tree=41
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leaf_weight=16.638411492109299 11.138812959194185
leaf_count=68 47

Tree=42
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Tree=43
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Tree=44
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leaf_value=-0.016032510976327442 0.011416126063094225
leaf_weight=10.852024346590042 14.564982980489731
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Tree=45
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split_gain=6.97283
leaf_value=-0.015671110503074879 0.011137852325959798
leaf_weight=10.821872249245644 14.551468208432198

Tree=46
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leaf_value=-0.01531861395415318 0.010866751721562184
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Tree=47
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leaf_value=-0.014974692724161218 0.010602591888291294
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Tree=48
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leaf_value=-0.015644430691187001 0.0093668011551102989
leaf_weight=9.4659086316823977 16.779336482286453
leaf_count=41 69
internal_count=110

Tree=49
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leaf_value=-0.015301573255314466 0.0091355943559298554
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Tree=50
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leaf_value=-0.014966666449608756 0.0089103111739208887
leaf_weight=9.4012162834405917 16.758256211876869

Tree=51
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leaf_value=-0.014639441012571152 0.0086907733543006172
leaf_weight=9.3686801195144671 16.747165605425835

Tree=52
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leaf_weight=14.50269927084446 11.123329475522041
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Tree=53
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split_gain=5.86485
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leaf_weight=9.3655647635459918 16.230082705616951

Tree=54
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Tree=55
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Tree=56
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Tree=57
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threshold=0.053109544169987921
leaf_value=-0.012886719205905284 0.0038510081417272813
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Tree=58
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Tree=59
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Tree=60
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Tree=61
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Tree=62
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Tree=63
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Tree=64
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internal_count=109

Tree=65
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Tree=66
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Tree=67
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Tree=68
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Tree=69
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Tree=70
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Tree=71
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Tree=72
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Tree=73
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Tree=74
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Tree=75
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Tree=76
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threshold=-0.10710102282068884
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Tree=77
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Tree=78
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Tree=79
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Tree=80
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Tree=81
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Tree=82
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Tree=83
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Tree=84
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Tree=85
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Tree=86
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Tree=87
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Tree=88
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Tree=89
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Tree=90
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Tree=91
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Tree=92
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Tree=93
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Tree=94
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Tree=95
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Tree=96
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Tree=97
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Tree=98
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Tree=99
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Tree=101
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Tree=102
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Tree=103
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Tree=104
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Tree=105
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Tree=106
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Tree=107
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Tree=108
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Tree=109
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Tree=110
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Tree=111
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Tree=112
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Tree=113
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Tree=114
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Tree=115
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Tree=117
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Tree=118
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Tree=120
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Tree=121
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Tree=122
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Tree=123
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Tree=124
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Tree=125
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Tree=126
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Tree=127
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Tree=128
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Tree=129
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Tree=130
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Tree=131
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Tree=132
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Tree=133
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Tree=134
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Tree=135
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Tree=136
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Tree=137
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Tree=138
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Tree=139
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Tree=140
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Tree=141
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Tree=142
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Tree=143
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Tree=144
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Tree=145
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Tree=146
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Tree=147
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Tree=148
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Tree=149
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Tree=150
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Tree=151
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Tree=152
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Tree=153
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Tree=154
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Tree=155
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Tree=156
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Tree=157
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Tree=158
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Tree=159
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Tree=160
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Tree=161
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Tree=162
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Tree=163
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Tree=164
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Tree=165
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Tree=166
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Tree=167
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Tree=168
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Tree=169
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Tree=170
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Tree=171
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Tree=172
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Tree=173
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Tree=174
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Tree=176
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Tree=177
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Tree=178
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Tree=179
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Tree=180
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Tree=181
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Tree=182
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Tree=184
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Tree=185
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Tree=186
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Tree=188
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Tree=189
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Tree=190
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Tree=192
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Tree=193
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Tree=194
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Tree=195
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Tree=197
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Tree=198
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Tree=199
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Tree=200
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Tree=201
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Tree=202
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Tree=203
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Tree=204
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Tree=205
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Tree=206
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Tree=207
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split_gain=0.352676
leaf_value=-0.0058648708328073252 0.00056700315522539531
leaf_weight=9.6472926437854785 12.539022013545035

Tree=536
num_cat=0
split_gain=1.09084
leaf_value=0.0055001180109580895 -0.005994621951822229
leaf_weight=9.0474235862493515 12.686337597668171
leaf_count=48 65

Tree=537
num_cat=0
split_gain=1.03686
leaf_value=0.0053640242672127981 -0.0058455476415168262
leaf_weight=9.0423973873257637 12.68088635802269

Tree=538
num_cat=0
split_gain=0.985556
leaf_value=0.0052312657688238576 -0.0057001749107507618
leaf_weight=9.0374313220381737 12.675449557602406

Tree=539
num_cat=0
split_gain=0.936785
leaf_value=0.0051017584353057121 -0.0055584101487416099
leaf_weight=9.0325269028544426 12.670033052563667

Tree=540
num_cat=0
split_gain=0.5443
leaf_value=0.0030336646662698892 -0.0050580976283033999
leaf_weight=9.7551141008734703 11.688611388206482
leaf_count=53 60

Tree=541
num_cat=0
split_gain=0.516532
leaf_value=0.0029547812308268291 -0.0049241671225150148
leaf_weight=9.7621388137340546 11.702668584883213

Tree=542
num_cat=0
split_gain=2.64231
leaf_value=-0.011003420908937222 0.0068067058294508176
leaf_weight=9.7863438352942484 11.698899343609808

Tree=543
num_cat=0
split_gain=0.471249
leaf_value=0.0028309610958675811 -0.0046968546151923704
leaf_weight=9.7533619031310081 11.700486414134502

Tree=544
num_cat=0
split_gain=0.299589
leaf_value=0.0025997014564624783 0.008585844674270272
leaf_weight=13.306030176579954 8.9520069658756238
leaf_count=74 43

Tree=545
num_cat=0
split_gain=0.870515
leaf_value=-0.00077740098171293287 0.0093042019875079502
leaf_weight=9.7550780475139618 12.493456713855267

Tree=546
num_cat=0
split_gain=0.826395
leaf_value=-0.00075766136492129953 0.009063592229132552
leaf_weight=9.756064385175705 12.500646166503429

Tree=547
num_cat=0
split_gain=0.784552
leaf_value=-0.00073842456207121922 0.0088295443584263111
leaf_weight=9.7570242807269096 12.507364325225353

Tree=548
num_cat=0
split_gain=0.927629
leaf_value=0.002974071260829431 -0.0080623776357618363
leaf_weight=12.81643717736006 7.8589308857917777
leaf_count=73 36

Tree=549
num_cat=0
split_gain=0.880993
leaf_value=0.0028988544033194102 -0.0078552419253463349
leaf_weight=12.816417165100576 7.8621084839105597

Tree=550
num_cat=0
split_gain=0.836725
leaf_value=0.0028255440024560264 -0.0076536760714426035
leaf_weight=12.816376365721228 7.8650377392768851

Tree=551
num_cat=0
split_gain=0.478728
leaf_value=0.0021010100192864751 -0.0057119888277766661
leaf_weight=12.129870884120464 8.554178923368454
leaf_count=61 48

Tree=552
num_cat=0
split_gain=0.341659
leaf_value=-0.0074984859731853917 -0.00073482786037538841
leaf_weight=10.360595166683199 8.8738568872213346
leaf_count=58 43
internal_count=101

Tree=553
num_cat=0
split_gain=0.324848
leaf_value=-0.0073117303670773336 -0.00071615296976971143
leaf_weight=10.356538094580175 8.8749402016401273

Tree=554
num_cat=0
split_gain=0.308864
leaf_value=-0.0071296392965181183 -0.00069795577230521565
leaf_weight=10.352465078234674 8.8759944885969144

Tree=555
num_cat=0
split_gain=0.293667
leaf_value=-0.0069520911454332476 -0.00068022314144636437
leaf_weight=10.348382346332075 8.8770208358764631

Tree=556
num_cat=0
split_gain=0.673847
leaf_value=0.0034310124123880029 -0.005738076047957774
leaf_weight=7.9073518365621593 14.578320972621439
leaf_count=47 72

Tree=557
num_cat=0
split_gain=0.639591
leaf_value=0.0033406534641540644 -0.0055878443442429846
leaf_weight=7.9157208055257824 14.591459788382052

Tree=558
num_cat=0
split_gain=0.0156909
leaf_value=-0.0018452650340462127 -0.0032164648257251502
leaf_weight=13.700961455702782 8.8270130679011345

Tree=559
num_cat=0
split_gain=0.607962
leaf_value=0.0033204637704673549 -0.0053825087806882088
leaf_weight=7.9164341762661961 14.607707366347311

Tree=560
num_cat=0
split_gain=0.389813
leaf_value=-0.0024429829975788787 0.0043300177692970733
leaf_weight=9.7144260853528976 12.339109942317009
leaf_count=51 66

Tree=561
num_cat=0
split_gain=0.517348
leaf_value=-0.0018952846750196345 0.0059888034806452398
leaf_weight=13.086877316236498 8.9748131632804853
leaf_count=73 44

Tree=562
num_cat=0
split_gain=0.491847
leaf_value=-0.001847585925041602 0.0058415538045905255
leaf_weight=13.085214748978617 8.9684103652834875

Tree=563
num_cat=0
split_gain=0.4676
leaf_value=-0.0018010833634909591 0.0056978810586683307
leaf_weight=13.083584040403368 8.962079852819441

Tree=564
num_cat=0
split_gain=2.98153
leaf_value=-0.010764528447196954 0.0080220201879440713
leaf_weight=12.01638485491276 9.820491209626196

Tree=565
num_cat=0
split_gain=0.218055
leaf_value=0.00061576082190719522 -0.0044826515210749339
leaf_weight=9.5116965770721436 12.302724659442902

Tree=566
num_cat=0
split_gain=2.81864
leaf_value=-0.010419615780871508 0.0078506240223036941
leaf_weight=12.008254401385786 9.8179147839546186

Tree=567
num_cat=0
split_gain=0.210919
leaf_value=0.00053208057364280013 -0.0044560950422617741
leaf_weight=10.089740082621574 11.713939666748047
leaf_count=52 61

end of trees

feature_importances:
Age=301
B_symptoms_Yes=113
early_advanced_early=92
radio_Yes=62

parameters:
[boosting: gbdt]
[objective: binary]
[metric: binary_logloss]
[tree_learner: serial]
[device_type: cpu]
[linear_tree: 0]
[data: ]
[valid: ]
[num_iterations: 568]
[learning_rate: 0.0252925]
[num_leaves: 164]
[num_threads: -1]
[deterministic: 0]
[force_col_wise: 0]
[force_row_wise: 0]
[histogram_pool_size: -1]
[max_depth: 14]
[min_data_in_leaf: 41]
[min_sum_hessian_in_leaf: 0.001]
[bagging_fraction: 0.802925]
[pos_bagging_fraction: 1]
[neg_bagging_fraction: 1]
[bagging_freq: 4]
[bagging_seed: 400]
[feature_fraction: 0.694335]
[feature_fraction_bynode: 1]
[feature_fraction_seed: 30056]
[extra_trees: 0]
[extra_seed: 12879]
[early_stopping_round: 0]
[first_metric_only: 0]
[max_delta_step: 0]
[lambda_l1: 0.000462407]
[lambda_l2: 3.78631e-05]
[linear_lambda: 0]
[min_gain_to_split: 0]
[drop_rate: 0.1]
[max_drop: 50]
[skip_drop: 0.5]
[xgboost_dart_mode: 0]
[uniform_drop: 0]
[drop_seed: 17869]
[top_rate: 0.2]
[other_rate: 0.1]
[min_data_per_group: 100]
[max_cat_threshold: 32]
[cat_l2: 10]
[cat_smooth: 10]
[max_cat_to_onehot: 4]
[top_k: 20]
[monotone_constraints: ]
[monotone_constraints_method: basic]
[monotone_penalty: 0]
[feature_contri: ]
[forcedsplits_filename: ]
[refit_decay_rate: 0.9]
[cegb_tradeoff: 1]
[cegb_penalty_split: 0]
[cegb_penalty_feature_lazy: ]
[cegb_penalty_feature_coupled: ]
[path_smooth: 0]
[interaction_constraints: ]
[verbosity: -1]
[saved_feature_importance_type: 0]
[max_bin: 255]
[max_bin_by_feature: ]
[min_data_in_bin: 3]
[bin_construct_sample_cnt: 200000]
[data_random_seed: 175]
[is_enable_sparse: 1]
[enable_bundle: 1]
[use_missing: 1]
[zero_as_missing: 0]
[feature_pre_filter: 1]
[pre_partition: 0]
[two_round: 0]
[header: 0]
[label_column: ]
[weight_column: ]
[group_column: ]
[ignore_column: ]
[categorical_feature: ]
[forcedbins_filename: ]
[objective_seed: 16083]
[num_class: 1]
[is_unbalance: 0]
[scale_pos_weight: 1]
[sigmoid: 1]
[boost_from_average: 1]
[reg_sqrt: 0]
[alpha: 0.9]
[fair_c: 1]
[poisson_max_delta_step: 0.7]
[tweedie_variance_power: 1.5]
[lambdarank_truncation_level: 30]
[lambdarank_norm: 1]
[label_gain: ]
[eval_at: ]
[multi_error_top_k: 1]
[auc_mu_weights: ]
[num_machines: 1]
[local_listen_port: 12400]
[time_out: 120]
[machine_list_filename: ]
[machines: ]
[gpu_platform_id: -1]
[gpu_device_id: -1]
[gpu_use_dp: 0]
[num_gpu: 1]

end of parameters

pandas_categorical:[]