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digraph Tree {
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0 [label="gps_snr_mean <= 21.62\ngini = 0.83\nsamples = 43316\nvalue = [8442, 7442, 2604, 9011, 8819, 18313, 14005]\nclass = Train", fillcolor="#f9effd"] ;
1 [label="accuracy <= 3.5\ngini = 0.73\nsamples = 28774\nvalue = [6883, 2290, 4, 239, 5571, 17931, 12615]\nclass = Train", fillcolor="#f2dffb"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="cells_dbm_mean <= -90.5\ngini = 0.7\nsamples = 18434\nvalue = [5789, 1851, 3, 26, 682, 10071, 10793]\nclass = Subway", fillcolor="#fef8fa"] ;
1 -> 2 ;
3 [label="wifi_rssi_mean <= -60.13\ngini = 0.29\nsamples = 20\nvalue = [0, 4, 0, 0, 0, 1, 24]\nclass = Subway", fillcolor="#ea619e"] ;
2 -> 3 ;
4 [label="gini = 0.0\nsamples = 14\nvalue = [0, 0, 0, 0, 0, 0, 22]\nclass = Subway", fillcolor="#e53986"] ;
3 -> 4 ;
5 [label="cells_level_mean <= 0.58\ngini = 0.57\nsamples = 6\nvalue = [0, 4, 0, 0, 0, 1, 2]\nclass = Walking", fillcolor="#e2f5b0"] ;
3 -> 5 ;
6 [label="gini = 0.0\nsamples = 2\nvalue = [0, 3, 0, 0, 0, 0, 0]\nclass = Walking", fillcolor="#b7e539"] ;
5 -> 6 ;
7 [label="cells_asuLevel_std <= 3.11\ngini = 0.62\nsamples = 4\nvalue = [0, 1, 0, 0, 0, 1, 2]\nclass = Subway", fillcolor="#f6bdd7"] ;
5 -> 7 ;
8 [label="gini = 0.0\nsamples = 2\nvalue = [0, 0, 0, 0, 0, 0, 2]\nclass = Subway", fillcolor="#e53986"] ;
7 -> 8 ;
9 [label="gini = 0.5\nsamples = 2\nvalue = [0, 1, 0, 0, 0, 1, 0]\nclass = Walking", fillcolor="#ffffff"] ;
7 -> 9 ;
10 [label="gps_snr_max <= 9.5\ngini = 0.7\nsamples = 18414\nvalue = [5789, 1847, 3, 26, 682, 10070, 10769]\nclass = Subway", fillcolor="#fef8fb"] ;
2 -> 10 ;
11 [label="wifi_rssi_mode <= -54.5\ngini = 0.66\nsamples = 13527\nvalue = [3077, 1717, 3, 10, 18, 6402, 10210]\nclass = Subway", fillcolor="#f8cde0"] ;
10 -> 11 ;
12 [label="wifi_rssi_mean <= -86.93\ngini = 0.6\nsamples = 8085\nvalue = [3045, 466, 0, 0, 1, 2125, 7230]\nclass = Subway", fillcolor="#f4abcb"] ;
11 -> 12 ;
13 [label="gini = 0.0\nsamples = 921\nvalue = [0, 0, 0, 0, 0, 1466, 0]\nclass = Train", fillcolor="#b139e5"] ;
12 -> 13 ;
14 [label="gini = 0.52\nsamples = 7164\nvalue = [3045, 466, 0, 0, 1, 659, 7230]\nclass = Subway", fillcolor="#f29cc2"] ;
12 -> 14 ;
15 [label="wifi_rssi_max <= -36.5\ngini = 0.61\nsamples = 5442\nvalue = [32, 1251, 3, 10, 17, 4277, 2980]\nclass = Train", fillcolor="#edd1f9"] ;
11 -> 15 ;
16 [label="gini = 0.28\nsamples = 2557\nvalue = [0, 93, 0, 0, 0, 3406, 563]\nclass = Train", fillcolor="#c05eea"] ;
15 -> 16 ;
17 [label="gini = 0.61\nsamples = 2885\nvalue = [32, 1158, 3, 10, 17, 871, 2417]\nclass = Subway", fillcolor="#f5b5d2"] ;
15 -> 17 ;
18 [label="accuracy <= 1.5\ngini = 0.64\nsamples = 4887\nvalue = [2712, 130, 0, 16, 664, 3668, 559]\nclass = Train", fillcolor="#f0d9fa"] ;
10 -> 18 ;
19 [label="wifi_rssi_mean <= -71.43\ngini = 0.64\nsamples = 4886\nvalue = [2712, 130, 0, 14, 664, 3668, 559]\nclass = Train", fillcolor="#f0d9fa"] ;
18 -> 19 ;
20 [label="gini = 0.58\nsamples = 2319\nvalue = [1982, 7, 0, 3, 52, 1264, 369]\nclass = Still", fillcolor="#f7dac4"] ;
19 -> 20 ;
21 [label="gini = 0.59\nsamples = 2567\nvalue = [730, 123, 0, 11, 612, 2404, 190]\nclass = Train", fillcolor="#d89cf2"] ;
19 -> 21 ;
22 [label="gini = 0.0\nsamples = 1\nvalue = [0, 0, 0, 2, 0, 0, 0]\nclass = Bike", fillcolor="#39e5e2"] ;
18 -> 22 ;
23 [label="num_gps <= 15.25\ngini = 0.66\nsamples = 10340\nvalue = [1094, 439, 1, 213, 4889, 7860, 1822]\nclass = Train", fillcolor="#ebccf8"] ;
1 -> 23 ;
24 [label="speed_dif <= 9.96\ngini = 0.6\nsamples = 7940\nvalue = [1030, 323, 1, 16, 2600, 7262, 1287]\nclass = Train", fillcolor="#daa2f3"] ;
23 -> 24 ;
25 [label="wifi_rssi_std <= 8.05\ngini = 0.71\nsamples = 5116\nvalue = [1021, 323, 1, 14, 2427, 3238, 1044]\nclass = Train", fillcolor="#f4e3fb"] ;
24 -> 25 ;
26 [label="acc <= 0.0\ngini = 0.7\nsamples = 3537\nvalue = [935, 294, 1, 13, 969, 2603, 723]\nclass = Train", fillcolor="#e3b8f6"] ;
25 -> 26 ;
27 [label="gini = 0.75\nsamples = 2134\nvalue = [896, 279, 1, 5, 655, 1178, 361]\nclass = Train", fillcolor="#f6e8fc"] ;
26 -> 27 ;
28 [label="gini = 0.52\nsamples = 1403\nvalue = [39, 15, 0, 8, 314, 1425, 362]\nclass = Train", fillcolor="#d18af0"] ;
26 -> 28 ;
29 [label="wifi_rssi_max <= -49.5\ngini = 0.59\nsamples = 1579\nvalue = [86, 29, 0, 1, 1458, 635, 321]\nclass = Bus", fillcolor="#a9b6f4"] ;
25 -> 29 ;
30 [label="gini = 0.36\nsamples = 1130\nvalue = [86, 15, 0, 1, 1428, 135, 134]\nclass = Bus", fillcolor="#657ceb"] ;
29 -> 30 ;
31 [label="gini = 0.46\nsamples = 449\nvalue = [0, 14, 0, 0, 30, 500, 187]\nclass = Train", fillcolor="#d28df0"] ;
29 -> 31 ;
32 [label="speed <= 15.34\ngini = 0.18\nsamples = 2824\nvalue = [9, 0, 0, 2, 173, 4024, 243]\nclass = Train", fillcolor="#b94de8"] ;
24 -> 32 ;
33 [label="gps_snr_std <= 1.87\ngini = 0.44\nsamples = 788\nvalue = [7, 0, 0, 0, 170, 910, 173]\nclass = Train", fillcolor="#ca79ed"] ;
32 -> 33 ;
34 [label="gini = 0.26\nsamples = 12\nvalue = [0, 0, 0, 0, 2, 1, 17]\nclass = Subway", fillcolor="#e95a9a"] ;
33 -> 34 ;
35 [label="gini = 0.43\nsamples = 776\nvalue = [7, 0, 0, 0, 168, 909, 156]\nclass = Train", fillcolor="#c976ed"] ;
33 -> 35 ;
36 [label="wifi_rssi_min <= -82.5\ngini = 0.05\nsamples = 2036\nvalue = [2, 0, 0, 2, 3, 3114, 70]\nclass = Train", fillcolor="#b33ee6"] ;
32 -> 36 ;
37 [label="gini = 0.1\nsamples = 897\nvalue = [2, 0, 0, 2, 3, 1339, 70]\nclass = Train", fillcolor="#b544e6"] ;
36 -> 37 ;
38 [label="gini = 0.0\nsamples = 1139\nvalue = [0, 0, 0, 0, 0, 1775, 0]\nclass = Train", fillcolor="#b139e5"] ;
36 -> 38 ;
39 [label="num_wifi <= 16.0\ngini = 0.59\nsamples = 2400\nvalue = [64, 116, 0, 197, 2289, 598, 535]\nclass = Bus", fillcolor="#96a6f1"] ;
23 -> 39 ;
40 [label="gps_snr_std <= 5.29\ngini = 0.52\nsamples = 2168\nvalue = [64, 83, 0, 197, 2289, 598, 204]\nclass = Bus", fillcolor="#899af0"] ;
39 -> 40 ;
41 [label="acc <= 0.01\ngini = 0.27\nsamples = 1206\nvalue = [17, 12, 0, 44, 1637, 163, 55]\nclass = Bus", fillcolor="#5a72e9"] ;
40 -> 41 ;
42 [label="gini = 0.16\nsamples = 1110\nvalue = [17, 12, 0, 44, 1625, 54, 28]\nclass = Bus", fillcolor="#4b65e7"] ;
41 -> 42 ;
43 [label="gini = 0.42\nsamples = 96\nvalue = [0, 0, 0, 0, 12, 109, 27]\nclass = Train", fillcolor="#ca79ed"] ;
41 -> 43 ;
44 [label="speed <= 11.53\ngini = 0.71\nsamples = 962\nvalue = [47, 71, 0, 153, 652, 435, 149]\nclass = Bus", fillcolor="#d7ddfa"] ;
40 -> 44 ;
45 [label="gini = 0.62\nsamples = 710\nvalue = [47, 71, 0, 151, 652, 115, 79]\nclass = Bus", fillcolor="#98a7f1"] ;
44 -> 45 ;
46 [label="gini = 0.3\nsamples = 252\nvalue = [0, 0, 0, 2, 0, 320, 70]\nclass = Train", fillcolor="#c265eb"] ;
44 -> 46 ;
47 [label="wifi_rssi_mode <= -50.5\ngini = 0.16\nsamples = 232\nvalue = [0, 33, 0, 0, 0, 0, 331]\nclass = Subway", fillcolor="#e84d92"] ;
39 -> 47 ;
48 [label="gps_snr_std <= 7.76\ngini = 0.11\nsamples = 222\nvalue = [0, 20, 0, 0, 0, 0, 331]\nclass = Subway", fillcolor="#e7458d"] ;
47 -> 48 ;
49 [label="gini = 0.08\nsamples = 219\nvalue = [0, 14, 0, 0, 0, 0, 331]\nclass = Subway", fillcolor="#e6418b"] ;
48 -> 49 ;
50 [label="gini = 0.0\nsamples = 3\nvalue = [0, 6, 0, 0, 0, 0, 0]\nclass = Walking", fillcolor="#b7e539"] ;
48 -> 50 ;
51 [label="gini = 0.0\nsamples = 10\nvalue = [0, 13, 0, 0, 0, 0, 0]\nclass = Walking", fillcolor="#b7e539"] ;
47 -> 51 ;
52 [label="num_wifi <= 3.5\ngini = 0.77\nsamples = 14542\nvalue = [1559, 5152, 2600, 8772, 3248, 382, 1390]\nclass = Bike", fillcolor="#d7faf9"] ;
0 -> 52 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
53 [label="speed <= 2.82\ngini = 0.6\nsamples = 6536\nvalue = [890, 1303, 1390, 6203, 403, 237, 21]\nclass = Bike", fillcolor="#96f1f0"] ;
52 -> 53 ;
54 [label="acc <= 0.0\ngini = 0.77\nsamples = 3045\nvalue = [890, 1234, 1071, 1348, 147, 148, 5]\nclass = Bike", fillcolor="#f9fefe"] ;
53 -> 54 ;
55 [label="wifi_rssi_std <= 11.31\ngini = 0.68\nsamples = 1048\nvalue = [838, 218, 32, 332, 94, 148, 5]\nclass = Still", fillcolor="#f5cfb4"] ;
54 -> 55 ;
56 [label="speed_dif <= 0.0\ngini = 0.63\nsamples = 961\nvalue = [838, 183, 32, 323, 10, 138, 5]\nclass = Still", fillcolor="#f4c9aa"] ;
55 -> 56 ;
57 [label="gini = 0.7\nsamples = 294\nvalue = [41, 55, 22, 207, 7, 138, 5]\nclass = Bike", fillcolor="#d6faf9"] ;
56 -> 57 ;
58 [label="gini = 0.4\nsamples = 667\nvalue = [797, 128, 10, 116, 3, 0, 0]\nclass = Still", fillcolor="#eca470"] ;
56 -> 58 ;
59 [label="wifi_rssi_max <= -32.0\ngini = 0.56\nsamples = 87\nvalue = [0, 35, 0, 9, 84, 10, 0]\nclass = Bus", fillcolor="#a1aff3"] ;
55 -> 59 ;
60 [label="gini = 0.07\nsamples = 54\nvalue = [0, 3, 0, 0, 84, 0, 0]\nclass = Bus", fillcolor="#405ce6"] ;
59 -> 60 ;
61 [label="gini = 0.54\nsamples = 33\nvalue = [0, 32, 0, 9, 0, 10, 0]\nclass = Walking", fillcolor="#d8f195"] ;
59 -> 61 ;
62 [label="wifi_rssi_min <= -21.0\ngini = 0.69\nsamples = 1997\nvalue = [52, 1016, 1039, 1016, 53, 0, 0]\nclass = Run", fillcolor="#fdfffd"] ;
54 -> 62 ;
63 [label="acc <= 0.0\ngini = 0.53\nsamples = 471\nvalue = [15, 464, 0, 228, 50, 0, 0]\nclass = Walking", fillcolor="#dff3a7"] ;
62 -> 63 ;
64 [label="gini = 0.35\nsamples = 326\nvalue = [13, 412, 0, 72, 22, 0, 0]\nclass = Walking", fillcolor="#c8eb68"] ;
63 -> 64 ;
65 [label="gini = 0.51\nsamples = 145\nvalue = [2, 52, 0, 156, 28, 0, 0]\nclass = Bike", fillcolor="#90f0ef"] ;
63 -> 65 ;
66 [label="num_gps <= 16.5\ngini = 0.66\nsamples = 1526\nvalue = [37, 552, 1039, 788, 3, 0, 0]\nclass = Run", fillcolor="#e1fbe4"] ;
62 -> 66 ;
67 [label="gini = 0.58\nsamples = 1008\nvalue = [16, 299, 948, 359, 3, 0, 0]\nclass = Run", fillcolor="#a3f3ac"] ;
66 -> 67 ;
68 [label="gini = 0.59\nsamples = 518\nvalue = [21, 253, 91, 429, 0, 0, 0]\nclass = Bike", fillcolor="#bff7f6"] ;
66 -> 68 ;
69 [label="gps_snr_max <= 29.5\ngini = 0.24\nsamples = 3491\nvalue = [0, 69, 319, 4855, 256, 89, 16]\nclass = Bike", fillcolor="#55e9e6"] ;
53 -> 69 ;
70 [label="wifi_rssi_min <= -22.5\ngini = 0.59\nsamples = 133\nvalue = [0, 0, 0, 110, 87, 24, 1]\nclass = Bike", fillcolor="#ddfbfa"] ;
69 -> 70 ;
71 [label="speed <= 14.92\ngini = 0.36\nsamples = 66\nvalue = [0, 0, 0, 2, 85, 23, 0]\nclass = Bus", fillcolor="#7287ec"] ;
70 -> 71 ;
72 [label="gini = 0.04\nsamples = 53\nvalue = [0, 0, 0, 2, 85, 0, 0]\nclass = Bus", fillcolor="#3e5ae6"] ;
71 -> 72 ;
73 [label="gini = 0.0\nsamples = 13\nvalue = [0, 0, 0, 0, 0, 23, 0]\nclass = Train", fillcolor="#b139e5"] ;
71 -> 73 ;
74 [label="gps_snr_min <= 15.5\ngini = 0.07\nsamples = 67\nvalue = [0, 0, 0, 108, 2, 1, 1]\nclass = Bike", fillcolor="#40e6e3"] ;
70 -> 74 ;
75 [label="gini = 0.04\nsamples = 54\nvalue = [0, 0, 0, 86, 0, 1, 1]\nclass = Bike", fillcolor="#3ee6e3"] ;
74 -> 75 ;
76 [label="gini = 0.15\nsamples = 13\nvalue = [0, 0, 0, 22, 2, 0, 0]\nclass = Bike", fillcolor="#4be7e5"] ;
74 -> 76 ;
77 [label="gps_snr_mean <= 22.03\ngini = 0.22\nsamples = 3358\nvalue = [0, 69, 319, 4745, 169, 65, 15]\nclass = Bike", fillcolor="#52e8e6"] ;
69 -> 77 ;
78 [label="wifi_rssi_max <= -21.5\ngini = 0.66\nsamples = 70\nvalue = [0, 0, 0, 46, 37, 31, 1]\nclass = Bike", fillcolor="#e8fcfc"] ;
77 -> 78 ;
79 [label="gini = 0.55\nsamples = 40\nvalue = [0, 0, 0, 3, 35, 27, 1]\nclass = Bus", fillcolor="#d6dcfa"] ;
78 -> 79 ;
80 [label="gini = 0.22\nsamples = 30\nvalue = [0, 0, 0, 43, 2, 4, 0]\nclass = Bike", fillcolor="#53e8e6"] ;
78 -> 80 ;
81 [label="acc <= 0.0\ngini = 0.2\nsamples = 3288\nvalue = [0, 69, 319, 4699, 132, 34, 14]\nclass = Bike", fillcolor="#50e8e5"] ;
77 -> 81 ;
82 [label="gini = 0.44\nsamples = 619\nvalue = [0, 30, 262, 669, 4, 0, 0]\nclass = Bike", fillcolor="#8cf0ee"] ;
81 -> 82 ;
83 [label="gini = 0.12\nsamples = 2669\nvalue = [0, 39, 57, 4030, 128, 34, 14]\nclass = Bike", fillcolor="#46e7e4"] ;
81 -> 83 ;
84 [label="gps_snr_mean <= 24.94\ngini = 0.79\nsamples = 8006\nvalue = [669, 3849, 1210, 2569, 2845, 145, 1369]\nclass = Walking", fillcolor="#f8fceb"] ;
52 -> 84 ;
85 [label="gps_snr_max <= 36.5\ngini = 0.75\nsamples = 3010\nvalue = [364, 496, 213, 591, 1949, 145, 989]\nclass = Bus", fillcolor="#ccd4f8"] ;
84 -> 85 ;
86 [label="wifi_rssi_mean <= -69.4\ngini = 0.74\nsamples = 2571\nvalue = [356, 222, 179, 506, 1753, 145, 901]\nclass = Bus", fillcolor="#cad1f8"] ;
85 -> 86 ;
87 [label="num_gps <= 17.5\ngini = 0.69\nsamples = 2233\nvalue = [329, 126, 0, 503, 1753, 145, 677]\nclass = Bus", fillcolor="#b4bff5"] ;
86 -> 87 ;
88 [label="gini = 0.58\nsamples = 1838\nvalue = [110, 86, 0, 228, 1737, 145, 562]\nclass = Bus", fillcolor="#9aa9f2"] ;
87 -> 88 ;
89 [label="gini = 0.69\nsamples = 395\nvalue = [219, 40, 0, 275, 16, 0, 115]\nclass = Bike", fillcolor="#e6fcfb"] ;
87 -> 89 ;
90 [label="wifi_rssi_std <= 13.11\ngini = 0.67\nsamples = 338\nvalue = [27, 96, 179, 3, 0, 0, 224]\nclass = Subway", fillcolor="#fce6ef"] ;
86 -> 90 ;
91 [label="gini = 0.57\nsamples = 198\nvalue = [27, 95, 179, 0, 0, 0, 13]\nclass = Run", fillcolor="#b3f5bb"] ;
90 -> 91 ;
92 [label="gini = 0.04\nsamples = 140\nvalue = [0, 1, 0, 3, 0, 0, 211]\nclass = Subway", fillcolor="#e53d88"] ;
90 -> 92 ;
93 [label="wifi_rssi_std <= 4.38\ngini = 0.72\nsamples = 439\nvalue = [8, 274, 34, 85, 196, 0, 88]\nclass = Walking", fillcolor="#f4fbdf"] ;
85 -> 93 ;
94 [label="speed <= 13.6\ngini = 0.17\nsamples = 135\nvalue = [0, 7, 5, 0, 185, 0, 6]\nclass = Bus", fillcolor="#4b66e7"] ;
93 -> 94 ;
95 [label="gini = 0.12\nsamples = 132\nvalue = [0, 7, 5, 0, 185, 0, 0]\nclass = Bus", fillcolor="#4661e7"] ;
94 -> 95 ;
96 [label="gini = 0.0\nsamples = 3\nvalue = [0, 0, 0, 0, 0, 0, 6]\nclass = Subway", fillcolor="#e53986"] ;
94 -> 96 ;
97 [label="acc <= 0.0\ngini = 0.63\nsamples = 304\nvalue = [8, 267, 29, 85, 11, 0, 82]\nclass = Walking", fillcolor="#def3a4"] ;
93 -> 97 ;
98 [label="gini = 0.33\nsamples = 196\nvalue = [8, 252, 9, 26, 4, 0, 11]\nclass = Walking", fillcolor="#c6ea61"] ;
97 -> 98 ;
99 [label="gini = 0.69\nsamples = 108\nvalue = [0, 15, 20, 59, 7, 0, 71]\nclass = Subway", fillcolor="#fceaf2"] ;
97 -> 99 ;
100 [label="acc <= 0.0\ngini = 0.73\nsamples = 4996\nvalue = [305, 3353, 997, 1978, 896, 0, 380]\nclass = Walking", fillcolor="#eef9d1"] ;
84 -> 100 ;
101 [label="acc <= 0.0\ngini = 0.47\nsamples = 2789\nvalue = [305, 3153, 266, 287, 308, 0, 80]\nclass = Walking", fillcolor="#cded75"] ;
100 -> 101 ;
102 [label="wifi_rssi_mode <= -77.0\ngini = 0.78\nsamples = 559\nvalue = [203, 143, 7, 191, 237, 0, 72]\nclass = Bus", fillcolor="#f5f6fe"] ;
101 -> 102 ;
103 [label="gini = 0.52\nsamples = 215\nvalue = [20, 54, 1, 15, 219, 0, 18]\nclass = Bus", fillcolor="#8799ef"] ;
102 -> 103 ;
104 [label="gini = 0.73\nsamples = 344\nvalue = [183, 89, 6, 176, 18, 0, 54]\nclass = Still", fillcolor="#fefcfb"] ;
102 -> 104 ;
105 [label="wifi_rssi_mean <= -84.17\ngini = 0.27\nsamples = 2230\nvalue = [102, 3010, 259, 96, 71, 0, 8]\nclass = Walking", fillcolor="#c3e959"] ;
101 -> 105 ;
106 [label="gini = 0.0\nsamples = 24\nvalue = [0, 0, 0, 34, 0, 0, 0]\nclass = Bike", fillcolor="#39e5e2"] ;
105 -> 106 ;
107 [label="gini = 0.26\nsamples = 2206\nvalue = [102, 3010, 259, 62, 71, 0, 8]\nclass = Walking", fillcolor="#c2e958"] ;
105 -> 107 ;
108 [label="wifi_rssi_std <= 19.78\ngini = 0.69\nsamples = 2207\nvalue = [0, 200, 731, 1691, 588, 0, 300]\nclass = Bike", fillcolor="#bbf6f5"] ;
100 -> 108 ;
109 [label="acc <= 0.0\ngini = 0.62\nsamples = 1924\nvalue = [0, 200, 731, 1691, 145, 0, 300]\nclass = Bike", fillcolor="#aef4f3"] ;
108 -> 109 ;
110 [label="gini = 0.52\nsamples = 638\nvalue = [0, 173, 654, 170, 11, 0, 4]\nclass = Run", fillcolor="#8df099"] ;
109 -> 110 ;
111 [label="gini = 0.43\nsamples = 1286\nvalue = [0, 27, 77, 1521, 134, 0, 296]\nclass = Bike", fillcolor="#75edeb"] ;
109 -> 111 ;
112 [label="gini = 0.0\nsamples = 283\nvalue = [0, 0, 0, 0, 443, 0, 0]\nclass = Bus", fillcolor="#3956e5"] ;
108 -> 112 ;
}