decomposer/FinallyWork/tree

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0 [label=<体重 &le; 0.46<br/>gini = 0.86<br/>samples = 1302<br/>value = [265, 285, 339, 297, 339, 271, 291]<br/>class = Obesity_Type_I>, fillcolor="#ffffff"] ;
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1 -> 2 ;
3 [label=<蔬菜食用频率 &le; 0.5<br/>gini = 0.24<br/>samples = 91<br/>value = [132, 22, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e9965a"] ;
2 -> 3 ;
4 [label=<年龄 &le; 0.13<br/>gini = 0.44<br/>samples = 32<br/>value = [38, 19, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#f2c09c"] ;
3 -> 4 ;
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4 -> 5 ;
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5 -> 6 ;
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5 -> 7 ;
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7 -> 8 ;
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7 -> 9 ;
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9 -> 10 ;
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10 -> 12 ;
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9 -> 13 ;
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13 -> 14 ;
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15 -> 16 ;
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4 -> 18 ;
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3 -> 19 ;
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19 -> 20 ;
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20 -> 21 ;
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21 -> 22 ;
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21 -> 23 ;
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20 -> 24 ;
25 [label=<年龄 &le; 0.37<br/>gini = 0.5<br/>samples = 2<br/>value = [1, 1, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#ffffff"] ;
19 -> 25 ;
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25 -> 26 ;
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2 -> 28 ;
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28 -> 29 ;
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29 -> 30 ;
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30 -> 31 ;
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31 -> 32 ;
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32 -> 33 ;
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33 -> 34 ;
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34 -> 35 ;
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35 -> 36 ;
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35 -> 37 ;
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34 -> 38 ;
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38 -> 39 ;
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38 -> 40 ;
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33 -> 41 ;
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32 -> 42 ;
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31 -> 43 ;
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43 -> 44 ;
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43 -> 45 ;
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45 -> 46 ;
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30 -> 50 ;
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50 -> 51 ;
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51 -> 52 ;
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51 -> 53 ;
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53 -> 54 ;
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53 -> 55 ;
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55 -> 56 ;
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56 -> 58 ;
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55 -> 59 ;
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50 -> 62 ;
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62 -> 63 ;
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62 -> 64 ;
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64 -> 65 ;
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64 -> 66 ;
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66 -> 67 ;
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66 -> 68 ;
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68 -> 69 ;
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68 -> 70 ;
71 [label=<蔬菜食用频率 &le; 0.25<br/>gini = 0.57<br/>samples = 12<br/>value = [0, 4, 1, 2, 0, 2, 15]<br/>class = Overweight_Level_II>, fillcolor="#f192bc"] ;
29 -> 71 ;
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71 -> 72 ;
73 [label=<两餐之间的食物消耗量 &le; 0.17<br/>gini = 0.51<br/>samples = 11<br/>value = [0, 2, 1, 2, 0, 2, 15]<br/>class = Overweight_Level_II>, fillcolor="#ee7eb0"] ;
71 -> 73 ;
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73 -> 74 ;
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74 -> 75 ;
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74 -> 76 ;
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73 -> 77 ;
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77 -> 78 ;
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78 -> 79 ;
80 [label=<高热量食物 &le; 0.5<br/>gini = 0.38<br/>samples = 2<br/>value = [0, 0, 1, 0, 0, 0, 3]<br/>class = Overweight_Level_II>, fillcolor="#ee7bae"] ;
79 -> 80 ;
81 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 3]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
80 -> 81 ;
82 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
80 -> 82 ;
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79 -> 83 ;
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78 -> 84 ;
85 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
77 -> 85 ;
86 [label=<每日水消耗量 &le; 0.46<br/>gini = 0.63<br/>samples = 29<br/>value = [0, 13, 1, 0, 0, 23, 9]<br/>class = Overweight_Level_I>, fillcolor="#e7c3f7"] ;
28 -> 86 ;
87 [label=<年龄 &le; 0.61<br/>gini = 0.1<br/>samples = 11<br/>value = [0, 0, 0, 0, 0, 18, 1]<br/>class = Overweight_Level_I>, fillcolor="#b544e6"] ;
86 -> 87 ;
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87 -> 88 ;
89 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 1]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
87 -> 89 ;
90 [label=<体重 &le; 0.27<br/>gini = 0.64<br/>samples = 18<br/>value = [0, 13, 1, 0, 0, 5, 8]<br/>class = Normal_Weight>, fillcolor="#ecf8cb"] ;
86 -> 90 ;
91 [label=<gini = 0.0<br/>samples = 6<br/>value = [0, 10, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
90 -> 91 ;
92 [label=<体重 &le; 0.32<br/>gini = 0.66<br/>samples = 12<br/>value = [0, 3, 1, 0, 0, 5, 8]<br/>class = Overweight_Level_II>, fillcolor="#f8cee1"] ;
90 -> 92 ;
93 [label=<身高 &le; 0.26<br/>gini = 0.22<br/>samples = 6<br/>value = [0, 0, 1, 0, 0, 0, 7]<br/>class = Overweight_Level_II>, fillcolor="#e95597"] ;
92 -> 93 ;
94 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
93 -> 94 ;
95 [label=<gini = 0.0<br/>samples = 5<br/>value = [0, 0, 0, 0, 0, 0, 7]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
93 -> 95 ;
96 [label=<身高 &le; 0.72<br/>gini = 0.57<br/>samples = 6<br/>value = [0, 3, 0, 0, 0, 5, 1]<br/>class = Overweight_Level_I>, fillcolor="#e5bdf6"] ;
92 -> 96 ;
97 [label=<高热量食物 &le; 0.5<br/>gini = 0.28<br/>samples = 5<br/>value = [0, 0, 0, 0, 0, 5, 1]<br/>class = Overweight_Level_I>, fillcolor="#c161ea"] ;
96 -> 97 ;
98 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 1]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
97 -> 98 ;
99 [label=<gini = 0.0<br/>samples = 4<br/>value = [0, 0, 0, 0, 0, 5, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
97 -> 99 ;
100 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 3, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
96 -> 100 ;
101 [label=<体重 &le; 0.28<br/>gini = 0.79<br/>samples = 619<br/>value = [123, 143, 231, 2, 0, 213, 262]<br/>class = Overweight_Level_II>, fillcolor="#fef7fa"] ;
1 -> 101 ;
102 [label=<体重 &le; 0.16<br/>gini = 0.72<br/>samples = 270<br/>value = [123, 128, 5, 0, 0, 139, 38]<br/>class = Overweight_Level_I>, fillcolor="#fcf8fe"] ;
101 -> 102 ;
103 [label=<身高 &le; 0.4<br/>gini = 0.46<br/>samples = 116<br/>value = [116, 58, 0, 0, 0, 2, 0]<br/>class = Insufficient_Weight>, fillcolor="#f2c19e"] ;
102 -> 103 ;
104 [label=<两餐之间的食物消耗量 &le; 0.83<br/>gini = 0.24<br/>samples = 35<br/>value = [5, 45, 0, 0, 0, 2, 0]<br/>class = Normal_Weight>, fillcolor="#c2e956"] ;
103 -> 104 ;
105 [label=<每日水消耗量 &le; 0.55<br/>gini = 0.19<br/>samples = 33<br/>value = [3, 44, 0, 0, 0, 2, 0]<br/>class = Normal_Weight>, fillcolor="#bfe84f"] ;
104 -> 105 ;
106 [label=<年龄 &le; 0.49<br/>gini = 0.1<br/>samples = 25<br/>value = [0, 37, 0, 0, 0, 2, 0]<br/>class = Normal_Weight>, fillcolor="#bbe644"] ;
105 -> 106 ;
107 [label=<身高 &le; 0.13<br/>gini = 0.05<br/>samples = 23<br/>value = [0, 35, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#b9e63f"] ;
106 -> 107 ;
108 [label=<两餐之间的食物消耗量 &le; 0.5<br/>gini = 0.38<br/>samples = 3<br/>value = [0, 3, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#cfee7b"] ;
107 -> 108 ;
109 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 3, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
108 -> 109 ;
110 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
108 -> 110 ;
111 [label=<gini = 0.0<br/>samples = 20<br/>value = [0, 32, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
107 -> 111 ;
112 [label=<身高 &le; 0.23<br/>gini = 0.44<br/>samples = 2<br/>value = [0, 2, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#dbf29c"] ;
106 -> 112 ;
113 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
112 -> 113 ;
114 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
112 -> 114 ;
115 [label=<体重 &le; 0.07<br/>gini = 0.42<br/>samples = 8<br/>value = [3, 7, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#d6f08e"] ;
105 -> 115 ;
116 [label=<gini = 0.0<br/>samples = 3<br/>value = [3, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
115 -> 116 ;
117 [label=<gini = 0.0<br/>samples = 5<br/>value = [0, 7, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
115 -> 117 ;
118 [label=<年龄 &le; 0.16<br/>gini = 0.44<br/>samples = 2<br/>value = [2, 1, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#f2c09c"] ;
104 -> 118 ;
119 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
118 -> 119 ;
120 [label=<gini = 0.0<br/>samples = 1<br/>value = [2, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
118 -> 120 ;
121 [label=<身高 &le; 0.48<br/>gini = 0.19<br/>samples = 81<br/>value = [111, 13, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e89050"] ;
103 -> 121 ;
122 [label=<身高 &le; 0.47<br/>gini = 0.46<br/>samples = 14<br/>value = [14, 8, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#f4c9aa"] ;
121 -> 122 ;
123 [label=<体重 &le; 0.12<br/>gini = 0.12<br/>samples = 11<br/>value = [14, 1, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e78a47"] ;
122 -> 123 ;
124 [label=<gini = 0.0<br/>samples = 10<br/>value = [14, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
123 -> 124 ;
125 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
123 -> 125 ;
126 [label=<gini = 0.0<br/>samples = 3<br/>value = [0, 7, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
122 -> 126 ;
127 [label=<两餐之间的食物消耗量 &le; 0.83<br/>gini = 0.09<br/>samples = 67<br/>value = [97, 5, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e68743"] ;
121 -> 127 ;
128 [label=<每日水消耗量 &le; 0.01<br/>gini = 0.06<br/>samples = 66<br/>value = [97, 3, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e6853f"] ;
127 -> 128 ;
129 [label=<高热量食物 &le; 0.5<br/>gini = 0.44<br/>samples = 3<br/>value = [1, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#dbf29c"] ;
128 -> 129 ;
130 [label=<gini = 0.0<br/>samples = 1<br/>value = [1, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
129 -> 130 ;
131 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
129 -> 131 ;
132 [label=<两餐之间的食物消耗量 &le; 0.5<br/>gini = 0.02<br/>samples = 63<br/>value = [96, 1, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e5823b"] ;
128 -> 132 ;
133 [label=<gini = 0.0<br/>samples = 43<br/>value = [68, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
132 -> 133 ;
134 [label=<年龄 &le; 0.08<br/>gini = 0.07<br/>samples = 20<br/>value = [28, 1, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e68640"] ;
132 -> 134 ;
135 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
134 -> 135 ;
136 [label=<gini = 0.0<br/>samples = 19<br/>value = [28, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
134 -> 136 ;
137 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
127 -> 137 ;
138 [label=<酒精消耗量 &le; 0.5<br/>gini = 0.62<br/>samples = 154<br/>value = [7, 70, 5, 0, 0, 137, 38]<br/>class = Overweight_Level_I>, fillcolor="#e3b8f6"] ;
102 -> 138 ;
139 [label=<年龄 &le; 0.1<br/>gini = 0.65<br/>samples = 56<br/>value = [0, 39, 0, 0, 0, 23, 30]<br/>class = Normal_Weight>, fillcolor="#f5fbe2"] ;
138 -> 139 ;
140 [label=<蔬菜食用频率 &le; 0.98<br/>gini = 0.31<br/>samples = 16<br/>value = [0, 3, 0, 0, 0, 23, 2]<br/>class = Overweight_Level_I>, fillcolor="#c161ea"] ;
139 -> 140 ;
141 [label=<gini = 0.0<br/>samples = 12<br/>value = [0, 0, 0, 0, 0, 22, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
140 -> 141 ;
142 [label=<体重 &le; 0.23<br/>gini = 0.61<br/>samples = 4<br/>value = [0, 3, 0, 0, 0, 1, 2]<br/>class = Normal_Weight>, fillcolor="#edf8ce"] ;
140 -> 142 ;
143 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 3, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
142 -> 143 ;
144 [label=<身高 &le; 0.35<br/>gini = 0.44<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 1, 2]<br/>class = Overweight_Level_II>, fillcolor="#f29cc2"] ;
142 -> 144 ;
145 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
144 -> 145 ;
146 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
144 -> 146 ;
147 [label=<身高 &le; 0.26<br/>gini = 0.49<br/>samples = 40<br/>value = [0, 36, 0, 0, 0, 0, 28]<br/>class = Normal_Weight>, fillcolor="#eff9d3"] ;
139 -> 147 ;
148 [label=<gini = 0.0<br/>samples = 19<br/>value = [0, 0, 0, 0, 0, 0, 26]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
147 -> 148 ;
149 [label=<年龄 &le; 0.14<br/>gini = 0.1<br/>samples = 21<br/>value = [0, 36, 0, 0, 0, 0, 2]<br/>class = Normal_Weight>, fillcolor="#bbe644"] ;
147 -> 149 ;
150 [label=<体重 &le; 0.25<br/>gini = 0.38<br/>samples = 5<br/>value = [0, 6, 0, 0, 0, 0, 2]<br/>class = Normal_Weight>, fillcolor="#cfee7b"] ;
149 -> 150 ;
151 [label=<gini = 0.0<br/>samples = 4<br/>value = [0, 6, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
150 -> 151 ;
152 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
150 -> 152 ;
153 [label=<gini = 0.0<br/>samples = 16<br/>value = [0, 30, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
149 -> 153 ;
154 [label=<身高 &le; 0.51<br/>gini = 0.48<br/>samples = 98<br/>value = [7, 31, 5, 0, 0, 114, 8]<br/>class = Overweight_Level_I>, fillcolor="#cf84ef"] ;
138 -> 154 ;
155 [label=<年龄 &le; 0.14<br/>gini = 0.29<br/>samples = 76<br/>value = [0, 9, 5, 0, 0, 111, 8]<br/>class = Overweight_Level_I>, fillcolor="#bf5cea"] ;
154 -> 155 ;
156 [label=<卡路里消耗 &le; 0.5<br/>gini = 0.48<br/>samples = 12<br/>value = [0, 0, 0, 0, 0, 11, 7]<br/>class = Overweight_Level_I>, fillcolor="#e3b7f6"] ;
155 -> 156 ;
157 [label=<gini = 0.0<br/>samples = 6<br/>value = [0, 0, 0, 0, 0, 0, 7]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
156 -> 157 ;
158 [label=<gini = 0.0<br/>samples = 6<br/>value = [0, 0, 0, 0, 0, 11, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
156 -> 158 ;
159 [label=<身高 &le; 0.16<br/>gini = 0.24<br/>samples = 64<br/>value = [0, 9, 5, 0, 0, 100, 1]<br/>class = Overweight_Level_I>, fillcolor="#bc55e9"] ;
155 -> 159 ;
160 [label=<蔬菜食用频率 &le; 0.51<br/>gini = 0.41<br/>samples = 5<br/>value = [0, 0, 5, 0, 0, 2, 0]<br/>class = Obesity_Type_I>, fillcolor="#88ef94"] ;
159 -> 160 ;
161 [label=<gini = 0.0<br/>samples = 4<br/>value = [0, 0, 5, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
160 -> 161 ;
162 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 2, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
160 -> 162 ;
163 [label=<酒精消耗量 &le; 0.83<br/>gini = 0.17<br/>samples = 59<br/>value = [0, 9, 0, 0, 0, 98, 1]<br/>class = Overweight_Level_I>, fillcolor="#b94de8"] ;
159 -> 163 ;
164 [label=<蔬菜食用频率 &le; 0.99<br/>gini = 0.14<br/>samples = 58<br/>value = [0, 7, 0, 0, 0, 98, 1]<br/>class = Overweight_Level_I>, fillcolor="#b749e7"] ;
163 -> 164 ;
165 [label=<每日水消耗量 &le; 0.0<br/>gini = 0.04<br/>samples = 49<br/>value = [0, 1, 0, 0, 0, 88, 1]<br/>class = Overweight_Level_I>, fillcolor="#b33de6"] ;
164 -> 165 ;
166 [label=<体重 &le; 0.24<br/>gini = 0.32<br/>samples = 5<br/>value = [0, 1, 0, 0, 0, 4, 0]<br/>class = Overweight_Level_I>, fillcolor="#c46aec"] ;
165 -> 166 ;
167 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
166 -> 167 ;
168 [label=<gini = 0.0<br/>samples = 4<br/>value = [0, 0, 0, 0, 0, 4, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
166 -> 168 ;
169 [label=<高热量食物 &le; 0.5<br/>gini = 0.02<br/>samples = 44<br/>value = [0, 0, 0, 0, 0, 84, 1]<br/>class = Overweight_Level_I>, fillcolor="#b23be5"] ;
165 -> 169 ;
170 [label=<身高 &le; 0.27<br/>gini = 0.28<br/>samples = 3<br/>value = [0, 0, 0, 0, 0, 5, 1]<br/>class = Overweight_Level_I>, fillcolor="#c161ea"] ;
169 -> 170 ;
171 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 1]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
170 -> 171 ;
172 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 5, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
170 -> 172 ;
173 [label=<gini = 0.0<br/>samples = 41<br/>value = [0, 0, 0, 0, 0, 79, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
169 -> 173 ;
174 [label=<高热量食物 &le; 0.5<br/>gini = 0.47<br/>samples = 9<br/>value = [0, 6, 0, 0, 0, 10, 0]<br/>class = Overweight_Level_I>, fillcolor="#e0b0f5"] ;
164 -> 174 ;
175 [label=<gini = 0.0<br/>samples = 5<br/>value = [0, 0, 0, 0, 0, 9, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
174 -> 175 ;
176 [label=<身高 &le; 0.45<br/>gini = 0.24<br/>samples = 4<br/>value = [0, 6, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#c3e95a"] ;
174 -> 176 ;
177 [label=<gini = 0.0<br/>samples = 3<br/>value = [0, 6, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
176 -> 177 ;
178 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
176 -> 178 ;
179 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
163 -> 179 ;
180 [label=<身高 &le; 0.74<br/>gini = 0.47<br/>samples = 22<br/>value = [7, 22, 0, 0, 0, 3, 0]<br/>class = Normal_Weight>, fillcolor="#d4ef88"] ;
154 -> 180 ;
181 [label=<蔬菜食用频率 &le; 0.25<br/>gini = 0.21<br/>samples = 18<br/>value = [0, 22, 0, 0, 0, 3, 0]<br/>class = Normal_Weight>, fillcolor="#c1e954"] ;
180 -> 181 ;
182 [label=<gini = 0.0<br/>samples = 4<br/>value = [0, 6, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
181 -> 182 ;
183 [label=<体重 &le; 0.27<br/>gini = 0.27<br/>samples = 14<br/>value = [0, 16, 0, 0, 0, 3, 0]<br/>class = Normal_Weight>, fillcolor="#c4ea5e"] ;
181 -> 183 ;
184 [label=<年龄 &le; 0.31<br/>gini = 0.12<br/>samples = 11<br/>value = [0, 15, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#bce746"] ;
183 -> 184 ;
185 [label=<gini = 0.0<br/>samples = 10<br/>value = [0, 15, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
184 -> 185 ;
186 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
184 -> 186 ;
187 [label=<高热量食物 &le; 0.5<br/>gini = 0.44<br/>samples = 3<br/>value = [0, 1, 0, 0, 0, 2, 0]<br/>class = Overweight_Level_I>, fillcolor="#d89cf2"] ;
183 -> 187 ;
188 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
187 -> 188 ;
189 [label=<体重 &le; 0.27<br/>gini = 0.5<br/>samples = 2<br/>value = [0, 1, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#ffffff"] ;
187 -> 189 ;
190 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
189 -> 190 ;
191 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
189 -> 191 ;
192 [label=<gini = 0.0<br/>samples = 4<br/>value = [7, 0, 0, 0, 0, 0, 0]<br/>class = Insufficient_Weight>, fillcolor="#e58139"] ;
180 -> 192 ;
193 [label=<身高 &le; 0.38<br/>gini = 0.63<br/>samples = 349<br/>value = [0, 15, 226, 2, 0, 74, 224]<br/>class = Obesity_Type_I>, fillcolor="#fefffe"] ;
101 -> 193 ;
194 [label=<体重 &le; 0.42<br/>gini = 0.08<br/>samples = 75<br/>value = [0, 0, 120, 2, 0, 0, 3]<br/>class = Obesity_Type_I>, fillcolor="#41e654"] ;
193 -> 194 ;
195 [label=<年龄 &le; 0.65<br/>gini = 0.05<br/>samples = 73<br/>value = [0, 0, 120, 0, 0, 0, 3]<br/>class = Obesity_Type_I>, fillcolor="#3ee651"] ;
194 -> 195 ;
196 [label=<身高 &le; 0.35<br/>gini = 0.03<br/>samples = 71<br/>value = [0, 0, 119, 0, 0, 0, 2]<br/>class = Obesity_Type_I>, fillcolor="#3ce550"] ;
195 -> 196 ;
197 [label=<gini = 0.0<br/>samples = 63<br/>value = [0, 0, 108, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
196 -> 197 ;
198 [label=<蔬菜食用频率 &le; 0.85<br/>gini = 0.26<br/>samples = 8<br/>value = [0, 0, 11, 0, 0, 0, 2]<br/>class = Obesity_Type_I>, fillcolor="#5dea6d"] ;
196 -> 198 ;
199 [label=<gini = 0.0<br/>samples = 7<br/>value = [0, 0, 11, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
198 -> 199 ;
200 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
198 -> 200 ;
201 [label=<体重 &le; 0.3<br/>gini = 0.5<br/>samples = 2<br/>value = [0, 0, 1, 0, 0, 0, 1]<br/>class = Obesity_Type_I>, fillcolor="#ffffff"] ;
195 -> 201 ;
202 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 1]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
201 -> 202 ;
203 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
201 -> 203 ;
204 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 2, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
194 -> 204 ;
205 [label=<年龄 &le; 0.2<br/>gini = 0.62<br/>samples = 274<br/>value = [0, 15, 106, 0, 0, 74, 221]<br/>class = Overweight_Level_II>, fillcolor="#f5b6d2"] ;
193 -> 205 ;
206 [label=<酒精消耗量 &le; 0.17<br/>gini = 0.69<br/>samples = 164<br/>value = [0, 12, 81, 0, 0, 63, 88]<br/>class = Overweight_Level_II>, fillcolor="#fef6fa"] ;
205 -> 206 ;
207 [label=<体重 &le; 0.33<br/>gini = 0.53<br/>samples = 66<br/>value = [0, 2, 63, 0, 0, 7, 30]<br/>class = Obesity_Type_I>, fillcolor="#a4f3ad"] ;
206 -> 207 ;
208 [label=<身高 &le; 0.54<br/>gini = 0.38<br/>samples = 23<br/>value = [0, 2, 0, 0, 0, 7, 29]<br/>class = Overweight_Level_II>, fillcolor="#ed72a9"] ;
207 -> 208 ;
209 [label=<gini = 0.0<br/>samples = 17<br/>value = [0, 0, 0, 0, 0, 0, 29]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
208 -> 209 ;
210 [label=<身高 &le; 0.66<br/>gini = 0.35<br/>samples = 6<br/>value = [0, 2, 0, 0, 0, 7, 0]<br/>class = Overweight_Level_I>, fillcolor="#c772ec"] ;
208 -> 210 ;
211 [label=<gini = 0.0<br/>samples = 5<br/>value = [0, 0, 0, 0, 0, 7, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
210 -> 211 ;
212 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
210 -> 212 ;
213 [label=<高热量食物 &le; 0.5<br/>gini = 0.03<br/>samples = 43<br/>value = [0, 0, 63, 0, 0, 0, 1]<br/>class = Obesity_Type_I>, fillcolor="#3ce550"] ;
207 -> 213 ;
214 [label=<身高 &le; 0.52<br/>gini = 0.5<br/>samples = 2<br/>value = [0, 0, 1, 0, 0, 0, 1]<br/>class = Obesity_Type_I>, fillcolor="#ffffff"] ;
213 -> 214 ;
215 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 1]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
214 -> 215 ;
216 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
214 -> 216 ;
217 [label=<gini = 0.0<br/>samples = 41<br/>value = [0, 0, 62, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
213 -> 217 ;
218 [label=<身高 &le; 0.53<br/>gini = 0.66<br/>samples = 98<br/>value = [0, 10, 18, 0, 0, 56, 58]<br/>class = Overweight_Level_II>, fillcolor="#fefafc"] ;
206 -> 218 ;
219 [label=<每日水消耗量 &le; 0.24<br/>gini = 0.48<br/>samples = 31<br/>value = [0, 0, 17, 0, 0, 0, 26]<br/>class = Overweight_Level_II>, fillcolor="#f6bad5"] ;
218 -> 219 ;
220 [label=<gini = 0.0<br/>samples = 6<br/>value = [0, 0, 7, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
219 -> 220 ;
221 [label=<体重 &le; 0.36<br/>gini = 0.4<br/>samples = 25<br/>value = [0, 0, 10, 0, 0, 0, 26]<br/>class = Overweight_Level_II>, fillcolor="#ef85b5"] ;
219 -> 221 ;
222 [label=<每日水消耗量 &le; 0.8<br/>gini = 0.13<br/>samples = 19<br/>value = [0, 0, 2, 0, 0, 0, 26]<br/>class = Overweight_Level_II>, fillcolor="#e7488f"] ;
221 -> 222 ;
223 [label=<gini = 0.0<br/>samples = 15<br/>value = [0, 0, 0, 0, 0, 0, 22]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
222 -> 223 ;
224 [label=<蔬菜食用频率 &le; 0.3<br/>gini = 0.44<br/>samples = 4<br/>value = [0, 0, 2, 0, 0, 0, 4]<br/>class = Overweight_Level_II>, fillcolor="#f29cc2"] ;
222 -> 224 ;
225 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 2, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
224 -> 225 ;
226 [label=<gini = 0.0<br/>samples = 3<br/>value = [0, 0, 0, 0, 0, 0, 4]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
224 -> 226 ;
227 [label=<gini = 0.0<br/>samples = 6<br/>value = [0, 0, 8, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
221 -> 227 ;
228 [label=<年龄 &le; 0.09<br/>gini = 0.57<br/>samples = 67<br/>value = [0, 10, 1, 0, 0, 56, 32]<br/>class = Overweight_Level_I>, fillcolor="#e3b8f6"] ;
218 -> 228 ;
229 [label=<两餐之间的食物消耗量 &le; 0.5<br/>gini = 0.3<br/>samples = 11<br/>value = [0, 2, 0, 0, 0, 1, 14]<br/>class = Overweight_Level_II>, fillcolor="#ea619e"] ;
228 -> 229 ;
230 [label=<酒精消耗量 &le; 0.5<br/>gini = 0.12<br/>samples = 10<br/>value = [0, 0, 0, 0, 0, 1, 14]<br/>class = Overweight_Level_II>, fillcolor="#e7478f"] ;
229 -> 230 ;
231 [label=<体重 &le; 0.33<br/>gini = 0.44<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 1, 2]<br/>class = Overweight_Level_II>, fillcolor="#f29cc2"] ;
230 -> 231 ;
232 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
231 -> 232 ;
233 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
231 -> 233 ;
234 [label=<gini = 0.0<br/>samples = 8<br/>value = [0, 0, 0, 0, 0, 0, 12]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
230 -> 234 ;
235 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
229 -> 235 ;
236 [label=<蔬菜食用频率 &le; 0.49<br/>gini = 0.49<br/>samples = 56<br/>value = [0, 8, 1, 0, 0, 55, 18]<br/>class = Overweight_Level_I>, fillcolor="#d28df0"] ;
228 -> 236 ;
237 [label=<gini = 0.0<br/>samples = 8<br/>value = [0, 0, 0, 0, 0, 0, 10]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
236 -> 237 ;
238 [label=<每日水消耗量 &le; 0.91<br/>gini = 0.39<br/>samples = 48<br/>value = [0, 8, 1, 0, 0, 55, 8]<br/>class = Overweight_Level_I>, fillcolor="#c66eec"] ;
236 -> 238 ;
239 [label=<体重 &le; 0.29<br/>gini = 0.25<br/>samples = 38<br/>value = [0, 5, 1, 0, 0, 50, 2]<br/>class = Overweight_Level_I>, fillcolor="#bd57e9"] ;
238 -> 239 ;
240 [label=<每日水消耗量 &le; 0.61<br/>gini = 0.44<br/>samples = 2<br/>value = [0, 2, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#dbf29c"] ;
239 -> 240 ;
241 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
240 -> 241 ;
242 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
240 -> 242 ;
243 [label=<高热量食物 &le; 0.5<br/>gini = 0.2<br/>samples = 36<br/>value = [0, 3, 1, 0, 0, 49, 2]<br/>class = Overweight_Level_I>, fillcolor="#ba50e8"] ;
239 -> 243 ;
244 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
243 -> 244 ;
245 [label=<蔬菜食用频率 &le; 0.5<br/>gini = 0.14<br/>samples = 35<br/>value = [0, 1, 1, 0, 0, 49, 2]<br/>class = Overweight_Level_I>, fillcolor="#b749e7"] ;
243 -> 245 ;
246 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
245 -> 246 ;
247 [label=<gini = 0.11<br/>samples = 34<br/>value = [0, 1, 0, 0, 0, 49, 2]<br/>class = Overweight_Level_I>, fillcolor="#b645e7"] ;
245 -> 247 ;
248 [label=<身高 &le; 0.58<br/>gini = 0.64<br/>samples = 10<br/>value = [0, 3, 0, 0, 0, 5, 6]<br/>class = Overweight_Level_II>, fillcolor="#fce9f2"] ;
238 -> 248 ;
249 [label=<gini = 0.0<br/>samples = 3<br/>value = [0, 0, 0, 0, 0, 0, 5]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
248 -> 249 ;
250 [label=<身高 &le; 0.77<br/>gini = 0.57<br/>samples = 7<br/>value = [0, 3, 0, 0, 0, 5, 1]<br/>class = Overweight_Level_I>, fillcolor="#e5bdf6"] ;
248 -> 250 ;
251 [label=<每日水消耗量 &le; 0.99<br/>gini = 0.32<br/>samples = 5<br/>value = [0, 0, 0, 0, 0, 4, 1]<br/>class = Overweight_Level_I>, fillcolor="#c46aec"] ;
250 -> 251 ;
252 [label=<gini = 0.5<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 1, 1]<br/>class = Overweight_Level_I>, fillcolor="#ffffff"] ;
251 -> 252 ;
253 [label=<gini = 0.0<br/>samples = 3<br/>value = [0, 0, 0, 0, 0, 3, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
251 -> 253 ;
254 [label=<蔬菜食用频率 &le; 0.86<br/>gini = 0.38<br/>samples = 2<br/>value = [0, 3, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#cfee7b"] ;
250 -> 254 ;
255 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
254 -> 255 ;
256 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 3, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
254 -> 256 ;
257 [label=<体重 &le; 0.37<br/>gini = 0.38<br/>samples = 110<br/>value = [0, 3, 25, 0, 0, 11, 133]<br/>class = Overweight_Level_II>, fillcolor="#ec6ea6"] ;
205 -> 257 ;
258 [label=<年龄 &le; 0.76<br/>gini = 0.23<br/>samples = 77<br/>value = [0, 3, 2, 0, 0, 11, 111]<br/>class = Overweight_Level_II>, fillcolor="#e95497"] ;
257 -> 258 ;
259 [label=<身高 &le; 0.65<br/>gini = 0.13<br/>samples = 74<br/>value = [0, 3, 0, 0, 0, 5, 109]<br/>class = Overweight_Level_II>, fillcolor="#e7478f"] ;
258 -> 259 ;
260 [label=<蔬菜食用频率 &le; 0.5<br/>gini = 0.07<br/>samples = 71<br/>value = [0, 1, 0, 0, 0, 3, 109]<br/>class = Overweight_Level_II>, fillcolor="#e6408a"] ;
259 -> 260 ;
261 [label=<年龄 &le; 0.25<br/>gini = 0.5<br/>samples = 4<br/>value = [0, 0, 0, 0, 0, 2, 2]<br/>class = Overweight_Level_I>, fillcolor="#ffffff"] ;
260 -> 261 ;
262 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
261 -> 262 ;
263 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 2, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
261 -> 263 ;
264 [label=<年龄 &le; 0.26<br/>gini = 0.04<br/>samples = 67<br/>value = [0, 1, 0, 0, 0, 1, 107]<br/>class = Overweight_Level_II>, fillcolor="#e53d88"] ;
260 -> 264 ;
265 [label=<身高 &le; 0.55<br/>gini = 0.14<br/>samples = 21<br/>value = [0, 1, 0, 0, 0, 1, 25]<br/>class = Overweight_Level_II>, fillcolor="#e7488f"] ;
264 -> 265 ;
266 [label=<gini = 0.0<br/>samples = 19<br/>value = [0, 0, 0, 0, 0, 0, 25]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
265 -> 266 ;
267 [label=<体重 &le; 0.3<br/>gini = 0.5<br/>samples = 2<br/>value = [0, 1, 0, 0, 0, 1, 0]<br/>class = Normal_Weight>, fillcolor="#ffffff"] ;
265 -> 267 ;
268 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 1, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
267 -> 268 ;
269 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 1, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
267 -> 269 ;
270 [label=<gini = 0.0<br/>samples = 46<br/>value = [0, 0, 0, 0, 0, 0, 82]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
264 -> 270 ;
271 [label=<蔬菜食用频率 &le; 0.97<br/>gini = 0.5<br/>samples = 3<br/>value = [0, 2, 0, 0, 0, 2, 0]<br/>class = Normal_Weight>, fillcolor="#ffffff"] ;
259 -> 271 ;
272 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 2, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
271 -> 272 ;
273 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 2, 0, 0, 0, 0, 0]<br/>class = Normal_Weight>, fillcolor="#b7e539"] ;
271 -> 273 ;
274 [label=<卡路里消耗 &le; 0.5<br/>gini = 0.56<br/>samples = 3<br/>value = [0, 0, 2, 0, 0, 6, 2]<br/>class = Overweight_Level_I>, fillcolor="#d89cf2"] ;
258 -> 274 ;
275 [label=<体重 &le; 0.34<br/>gini = 0.5<br/>samples = 2<br/>value = [0, 0, 2, 0, 0, 0, 2]<br/>class = Obesity_Type_I>, fillcolor="#ffffff"] ;
274 -> 275 ;
276 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
275 -> 276 ;
277 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 2, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
275 -> 277 ;
278 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 6, 0]<br/>class = Overweight_Level_I>, fillcolor="#b139e5"] ;
274 -> 278 ;
279 [label=<每日水消耗量 &le; 0.8<br/>gini = 0.5<br/>samples = 33<br/>value = [0, 0, 23, 0, 0, 0, 22]<br/>class = Obesity_Type_I>, fillcolor="#f6fef7"] ;
257 -> 279 ;
280 [label=<身高 &le; 0.54<br/>gini = 0.42<br/>samples = 20<br/>value = [0, 0, 8, 0, 0, 0, 19]<br/>class = Overweight_Level_II>, fillcolor="#f08cb9"] ;
279 -> 280 ;
281 [label=<gini = 0.0<br/>samples = 5<br/>value = [0, 0, 8, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
280 -> 281 ;
282 [label=<gini = 0.0<br/>samples = 15<br/>value = [0, 0, 0, 0, 0, 0, 19]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
280 -> 282 ;
283 [label=<体重 &le; 0.45<br/>gini = 0.28<br/>samples = 13<br/>value = [0, 0, 15, 0, 0, 0, 3]<br/>class = Obesity_Type_I>, fillcolor="#61ea71"] ;
279 -> 283 ;
284 [label=<年龄 &le; 0.4<br/>gini = 0.22<br/>samples = 11<br/>value = [0, 0, 14, 0, 0, 0, 2]<br/>class = Obesity_Type_I>, fillcolor="#55e966"] ;
283 -> 284 ;
285 [label=<gini = 0.0<br/>samples = 7<br/>value = [0, 0, 10, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
284 -> 285 ;
286 [label=<体重 &le; 0.43<br/>gini = 0.44<br/>samples = 4<br/>value = [0, 0, 4, 0, 0, 0, 2]<br/>class = Obesity_Type_I>, fillcolor="#9cf2a6"] ;
284 -> 286 ;
287 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 2]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
286 -> 287 ;
288 [label=<gini = 0.0<br/>samples = 3<br/>value = [0, 0, 4, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
286 -> 288 ;
289 [label=<蔬菜食用频率 &le; 0.51<br/>gini = 0.5<br/>samples = 2<br/>value = [0, 0, 1, 0, 0, 0, 1]<br/>class = Obesity_Type_I>, fillcolor="#ffffff"] ;
283 -> 289 ;
290 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 0, 0, 0, 1]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
289 -> 290 ;
291 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
289 -> 291 ;
292 [label=<蔬菜食用频率 &le; 1.0<br/>gini = 0.61<br/>samples = 457<br/>value = [0, 0, 106, 293, 339, 0, 3]<br/>class = Obesity_Type_III>, fillcolor="#ebeefc"] ;
0 -> 292 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
293 [label=<体重 &le; 0.53<br/>gini = 0.38<br/>samples = 223<br/>value = [0, 0, 90, 277, 0, 0, 3]<br/>class = Obesity_Type_II>, fillcolor="#7beeec"] ;
292 -> 293 ;
294 [label=<每日水消耗量 &le; 0.3<br/>gini = 0.5<br/>samples = 73<br/>value = [0, 0, 73, 45, 0, 0, 3]<br/>class = Obesity_Type_I>, fillcolor="#b6f5bd"] ;
293 -> 294 ;
295 [label=<酒精消耗量 &le; 0.33<br/>gini = 0.12<br/>samples = 29<br/>value = [0, 0, 3, 43, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#47e7e4"] ;
294 -> 295 ;
296 [label=<gini = 0.0<br/>samples = 27<br/>value = [0, 0, 0, 43, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
295 -> 296 ;
297 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 3, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
295 -> 297 ;
298 [label=<体重 &le; 0.47<br/>gini = 0.13<br/>samples = 44<br/>value = [0, 0, 70, 2, 0, 0, 3]<br/>class = Obesity_Type_I>, fillcolor="#47e759"] ;
294 -> 298 ;
299 [label=<酒精消耗量 &le; 0.5<br/>gini = 0.5<br/>samples = 4<br/>value = [0, 0, 3, 0, 0, 0, 3]<br/>class = Obesity_Type_I>, fillcolor="#ffffff"] ;
298 -> 299 ;
300 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 3, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
299 -> 300 ;
301 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 0, 0, 0, 3]<br/>class = Overweight_Level_II>, fillcolor="#e53986"] ;
299 -> 301 ;
302 [label=<身高 &le; 0.46<br/>gini = 0.06<br/>samples = 40<br/>value = [0, 0, 67, 2, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#3fe652"] ;
298 -> 302 ;
303 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 2, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
302 -> 303 ;
304 [label=<gini = 0.0<br/>samples = 39<br/>value = [0, 0, 67, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
302 -> 304 ;
305 [label=<年龄 &le; 0.15<br/>gini = 0.13<br/>samples = 150<br/>value = [0, 0, 17, 232, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#48e7e4"] ;
293 -> 305 ;
306 [label=<身高 &le; 0.71<br/>gini = 0.11<br/>samples = 11<br/>value = [0, 0, 16, 1, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#45e758"] ;
305 -> 306 ;
307 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 1, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
306 -> 307 ;
308 [label=<gini = 0.0<br/>samples = 10<br/>value = [0, 0, 16, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
306 -> 308 ;
309 [label=<身高 &le; 0.9<br/>gini = 0.01<br/>samples = 139<br/>value = [0, 0, 1, 231, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#3ae5e2"] ;
305 -> 309 ;
310 [label=<gini = 0.0<br/>samples = 138<br/>value = [0, 0, 0, 231, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
309 -> 310 ;
311 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
309 -> 311 ;
312 [label=<身高 &le; 0.71<br/>gini = 0.16<br/>samples = 234<br/>value = [0, 0, 16, 16, 339, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#4b65e7"] ;
292 -> 312 ;
313 [label=<酒精消耗量 &le; 0.5<br/>gini = 0.08<br/>samples = 217<br/>value = [0, 0, 10, 5, 337, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#425de6"] ;
312 -> 313 ;
314 [label=<身高 &le; 0.59<br/>gini = 0.32<br/>samples = 3<br/>value = [0, 0, 1, 4, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#6aece9"] ;
313 -> 314 ;
315 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 4, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
314 -> 315 ;
316 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 1, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
314 -> 316 ;
317 [label=<每日水消耗量 &le; 1.0<br/>gini = 0.06<br/>samples = 214<br/>value = [0, 0, 9, 1, 337, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#3f5be6"] ;
313 -> 317 ;
318 [label=<年龄 &le; 0.26<br/>gini = 0.05<br/>samples = 213<br/>value = [0, 0, 9, 0, 337, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#3e5be6"] ;
317 -> 318 ;
319 [label=<身高 &le; 0.55<br/>gini = 0.04<br/>samples = 211<br/>value = [0, 0, 7, 0, 337, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#3d5ae6"] ;
318 -> 319 ;
320 [label=<gini = 0.0<br/>samples = 154<br/>value = [0, 0, 0, 0, 254, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#3956e5"] ;
319 -> 320 ;
321 [label=<体重 &le; 0.59<br/>gini = 0.14<br/>samples = 57<br/>value = [0, 0, 7, 0, 83, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#4a64e7"] ;
319 -> 321 ;
322 [label=<gini = 0.0<br/>samples = 4<br/>value = [0, 0, 7, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
321 -> 322 ;
323 [label=<gini = 0.0<br/>samples = 53<br/>value = [0, 0, 0, 0, 83, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#3956e5"] ;
321 -> 323 ;
324 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 2, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
318 -> 324 ;
325 [label=<gini = 0.0<br/>samples = 1<br/>value = [0, 0, 0, 1, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
317 -> 325 ;
326 [label=<体重 &le; 0.55<br/>gini = 0.55<br/>samples = 17<br/>value = [0, 0, 6, 11, 2, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#b3f5f4"] ;
312 -> 326 ;
327 [label=<gini = 0.0<br/>samples = 5<br/>value = [0, 0, 6, 0, 0, 0, 0]<br/>class = Obesity_Type_I>, fillcolor="#39e54d"] ;
326 -> 327 ;
328 [label=<体重 &le; 0.78<br/>gini = 0.26<br/>samples = 12<br/>value = [0, 0, 0, 11, 2, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#5deae7"] ;
326 -> 328 ;
329 [label=<gini = 0.0<br/>samples = 10<br/>value = [0, 0, 0, 11, 0, 0, 0]<br/>class = Obesity_Type_II>, fillcolor="#39e5e2"] ;
328 -> 329 ;
330 [label=<gini = 0.0<br/>samples = 2<br/>value = [0, 0, 0, 0, 2, 0, 0]<br/>class = Obesity_Type_III>, fillcolor="#3956e5"] ;
328 -> 330 ;
}