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Y,typ,pora,zwierze,smieciarka_zapelnienie,smietnik_zapelnienie,czas_smieci,w_pracy
1,1,1,0,0,0.51,1,1
1,1,1,0,0,0.52,1,1
1,1,1,0,0,0.53,1,1
1,1,1,0,0,0.55,1,1
1,1,1,0,0,0.56,1,1
1,1,1,0,0,0.54,1,1
1,1,1,0,0,0.57,1,1
1,1,1,0,0,0.58,1,1
1,1,1,0,0,0.59,1,1
1,1,1,0,0,0.60,1,1
1,1,1,0,0,0.61,1,1
1,1,1,0,0,0.62,1,1
1,1,1,0,0,0.63,1,1
1,1,1,0,0,0.64,1,1
1,1,1,0,0,0.65,1,1
1,1,1,0,0,0.66,1,1
1,1,1,0,0,0.67,1,1
1,1,1,0,0,0.68,1,1
1,1,1,0,0,0.69,1,1
1,1,1,0,0,0.70,1,1
1,1,1,0,0,0.71,1,1
1,1,1,0,0,0.72,1,1
1,1,1,0,0,0.73,1,1
1,1,1,0,0,0.74,1,1
1,1,1,0,0,0.75,1,1
1,1,1,0,0,0.76,1,1
1,1,1,0,0,0.77,1,1
1,1,1,0,0,0.78,1,1
1,1,1,0,0,0.79,1,1
1,1,1,0,0,0.80,1,1
1,1,1,0,0,0.81,1,1
1,1,1,0,0,0.82,1,1
1,1,1,0,0,0.83,1,1
1,1,1,0,0,0.84,1,1
1,1,1,0,0,0.85,1,1
1,1,1,0,0,0.86,1,1
1,2,1,0,0,0.51,1,2
1,2,1,0,0,0.52,1,2
1,2,1,0,0,0.53,1,2
1,2,1,0,0,0.55,1,2
1,2,1,0,0,0.56,1,2
1,2,1,0,0,0.54,1,2
1,2,1,0,0,0.57,1,2
1,2,1,0,0,0.58,1,2
1,2,1,0,0,0.59,1,2
1,2,1,0,0,0.60,1,2
1,2,1,0,0,0.61,1,2
1,2,1,0,0,0.62,1,2
1,2,1,0,0,0.63,1,2
1,2,1,0,0,0.64,1,2
1,2,1,0,0,0.65,1,2
1,2,1,0,0,0.66,1,2
1,2,1,0,0,0.67,1,2
1,2,1,0,0,0.68,1,2
1,2,1,0,0,0.69,1,2
1,2,1,0,0,0.70,1,2
1,2,1,0,0,0.71,1,2
1,2,1,0,0,0.72,1,2
1,2,1,0,0,0.73,1,2
1,2,1,0,0,0.74,1,2
1,2,1,0,0,0.75,1,2
1,2,1,0,0,0.76,1,2
1,2,1,0,0,0.77,1,2
1,2,1,0,0,0.78,1,2
1,2,1,0,0,0.79,1,2
1,2,1,0,0,0.80,1,2
1,2,1,0,0,0.81,1,2
1,2,1,0,0,0.82,1,1
1,2,1,0,0,0.83,1,2
1,2,1,0,0,0.84,1,2
1,2,1,0,0,0.85,1,2
1,2,1,0,0,0.86,1,2
1,3,1,0,0,0.51,1,3
1,3,1,0,0,0.52,1,3
1,3,1,0,0,0.53,1,3
1,3,1,0,0,0.55,1,3
1,3,1,0,0,0.56,1,3
1,3,1,0,0,0.54,1,3
1,3,1,0,0,0.57,1,3
1,3,1,0,0,0.58,1,3
1,3,1,0,0,0.59,1,3
1,3,1,0,0,0.60,1,3
1,3,1,0,0,0.61,1,3
1,3,1,0,0,0.62,1,3
1,3,1,0,0,0.63,1,3
1,3,1,0,0,0.64,1,3
1,3,1,0,0,0.65,1,3
1,3,1,0,0,0.66,1,3
1,3,1,0,0,0.67,1,3
1,3,1,0,0,0.68,1,3
1,3,1,0,0,0.69,1,3
1,3,1,0,0,0.70,1,3
1,3,1,0,0,0.71,1,3
1,3,1,0,0,0.72,1,3
1,3,1,0,0,0.73,1,3
1,3,1,0,0,0.74,1,3
1,3,1,0,0,0.75,1,3
1,3,1,0,0,0.76,1,3
1,3,1,0,0,0.77,1,3
1,3,1,0,0,0.78,1,3
1,3,1,0,0,0.79,1,3
1,3,1,0,0,0.80,1,3
1,3,1,0,0,0.81,1,3
1,3,1,0,0,0.82,1,3
1,3,1,0,0,0.83,1,3
1,3,1,0,0,0.84,1,3
1,3,1,0,0,0.85,1,3
1,3,1,0,0,0.86,1,3
0,1,1,1,1,0.12,1,0
0,2,1,1,1,0.42,2,0
0,3,1,1,1,0.01,4,0
0,4,1,1,1,0.33,2,0
0,0,1,1,1,0.72,3,0
0,1,1,0,1,0.23,2,0
0,2,1,0,1,0.13,0,0
0,3,1,0,1,0.97,1,0
0,4,1,0,1,0.42,6,0
0,0,1,0,1,1,7,1
0,1,2,1,1,0.24,3,1
0,2,2,1,1,0.67,4,1
0,3,2,1,1,0.78,2,1
0,4,2,1,1,0.87,1,1
0,0,2,1,1,0.88,6,1
0,1,2,0,1,0.11,3,1
0,2,2,0,1,0.02,2,2
0,3,2,0,1,0.42,9,2
0,4,2,0,1,0.44,1,2
0,0,2,0,1,0.5,2,2
0,1,3,1,1,0.51,7,2
0,2,3,1,1,0.75,6,2
0,3,3,1,1,0.99,3,2
0,4,3,1,1,0,4,3
0,0,3,1,1,0.1,8,3
0,1,3,0,1,0.21,3,3
0,2,3,0,1,0.34,2,3
0,3,3,0,1,0.61,6,5
0,4,3,0,1,0.87,0,5
0,0,3,0,1,0.97,1,5
0,1,4,1,1,0.90,3,5
0,2,4,1,1,0.01,2,3
0,3,4,1,1,0.55,7,3
0,4,4,1,1,0.66,6,4
0,0,4,1,1,0.77,4,4
0,1,4,0,1,0.73,2,4
0,2,4,0,1,0.83,4,4
0,3,4,0,1,0.22,3,4
0,4,4,0,1,0.17,2,5
0,0,4,0,1,0.14,5,5
0,1,1,1,0,0.12,1,0
0,2,1,1,0,0.42,2,0
0,3,1,1,0,0.01,4,0
0,4,1,1,0,0.33,2,0
0,0,1,1,0,0.72,3,0
0,1,1,0,0,0.23,2,0
0,2,1,0,0,0.13,0,0
1,3,1,0,0,0.97,1,3
0,4,1,0,0,0.42,6,0
0,0,1,0,0,1,7,1
0,1,2,1,0,0.24,3,1
0,2,2,1,0,0.67,4,1
0,3,2,1,0,0.78,2,1
0,4,2,1,0,0.87,1,1
0,0,2,1,0,0.88,6,1
1,1,2,0,0,0.91,3,1
1,2,2,0,0,0.52,2,2
0,3,2,0,0,0.42,9,2
0,4,2,0,0,0.44,1,2
0,0,2,0,0,0.5,2,2
0,1,3,1,0,0.51,7,2
0,2,3,1,0,0.75,6,2
0,3,3,1,0,0.99,3,2
0,4,3,1,0,0,4,3
0,0,3,1,0,0.1,8,3
0,1,3,0,0,0.21,3,3
0,2,3,0,0,0.34,2,3
0,3,3,0,0,0.61,6,5
0,4,3,0,0,0.87,0,5
0,0,3,0,0,0.97,1,5
0,1,4,1,0,0.90,3,5
0,2,4,1,0,0.01,2,3
0,3,4,1,0,0.55,7,3
0,4,4,1,0,0.66,6,4
0,0,4,1,0,0.77,4,4
0,1,4,0,0,0.73,2,4
0,2,4,0,0,0.83,4,4
0,3,4,0,0,0.22,3,4
0,4,4,0,0,0.17,2,5
0,0,4,0,0,0.14,5,5
1,1,3,0,0,0.67,1,1
1,2,3,0,0,0.67,1,2
1,3,3,0,0,0.67,1,3
1,4,3,0,0,0.67,1,4
1,0,3,0,0,0.67,1,0
0,1,3,0,0,0.67,1,5
0,2,3,0,0,0.67,1,5
0,3,3,0,0,0.67,1,5
0,4,3,0,0,0.67,1,5
1,1,3,0,0,0.57,1,1
0,1,3,0,0,0.47,1,1
0,1,3,1,0,0.67,1,1
0,1,3,1,0,0.27,1,1
1,1,4,0,0,0.67,1,1
1,2,4,0,0,0.67,1,2
1,3,4,0,0,0.67,1,3
1,4,4,0,0,0.67,1,4
1,0,4,0,0,0.67,1,0
0,1,4,0,0,0.67,1,5
0,2,4,0,0,0.67,1,5
0,3,4,0,0,0.67,1,5
0,4,4,0,0,0.67,1,5
1,1,4,0,0,0.57,1,1
0,1,4,0,0,0.47,1,1
0,1,4,1,0,0.67,1,1
0,1,4,1,0,0.27,1,1
1,1,2,0,0,0.67,1,1
1,2,2,0,0,0.67,1,2
1,3,2,0,0,0.67,1,3
1,4,2,0,0,0.67,1,4
1,0,2,0,0,0.67,1,0
0,1,2,0,0,0.67,1,5
0,2,2,0,0,0.67,1,5
0,3,2,0,0,0.67,1,5
0,4,2,0,0,0.67,1,5
1,1,2,0,0,0.57,1,1
0,1,2,0,0,0.47,1,1
0,1,2,1,0,0.67,1,1
0,1,2,1,0,0.27,1,1
1,1,1,0,0,0.67,1,1
1,2,1,0,0,0.67,1,2
1,3,1,0,0,0.67,1,3
1,4,1,0,0,0.67,1,4
1,0,1,0,0,0.67,1,0
0,1,1,0,0,0.67,1,5
0,2,1,0,0,0.67,1,5
0,3,1,0,0,0.67,1,5
0,4,1,0,0,0.67,1,5
1,1,1,0,0,0.57,1,1
0,1,1,0,0,0.47,1,1
0,1,1,1,0,0.67,1,1
0,1,1,1,0,0.27,1,1
1,1,1,0,0,0.67,3,1
1,2,1,0,0,0.67,3,2
1,3,1,0,0,0.67,3,3
1,4,1,0,0,0.67,3,4
1,0,1,0,0,0.67,3,0
0,1,1,0,0,0.67,3,5
0,2,1,0,0,0.67,3,5
0,3,1,0,0,0.67,3,5
0,4,1,0,0,0.67,3,5
1,1,1,0,0,0.57,3,1
1,1,1,0,0,0.47,3,1
0,1,1,1,0,0.67,3,1
0,1,1,1,0,0.27,3,1
1,1,4,0,0,0.67,3,1
1,2,4,0,0,0.67,3,2
1,3,4,0,0,0.67,3,3
1,4,4,0,0,0.67,3,4
1,0,4,0,0,0.67,3,0
0,1,4,0,0,0.67,3,5
0,2,4,0,0,0.67,3,5
0,3,4,0,0,0.67,3,5
0,4,4,0,0,0.67,3,5
1,1,4,0,0,0.57,3,1
0,1,4,0,0,0.47,3,1
0,1,4,1,0,0.67,3,1
0,1,4,1,0,0.27,3,1
1,1,4,0,0,0.7,3,1
1,1,4,0,0,0.51,3,1
1,1,4,0,0,0.52,3,1
1,1,4,0,0,0.50,3,1
0,1,4,0,0,0.49,3,1
1,1,1,0,0,0.47,3,1
0,1,1,0,0,0.47,0,1
1,1,1,0,0,0.47,1,1
1,1,1,0,0,0.01,3,1
0,1,1,0,0,0.01,0,1
1,1,1,0,0,0.99,0,1
0,1,2,0,0,0.47,0,1
1,1,2,0,0,0.47,1,1
1,1,2,0,0,0.01,3,1
0,1,2,0,0,0.01,0,1
1,1,2,0,0,0.99,0,1
0,1,3,0,0,0.47,0,1
1,1,3,0,0,0.47,1,1
0,1,3,0,0,0.01,3,1
0,1,3,0,0,0.01,0,1
1,1,3,0,0,0.99,0,1
0,1,3,1,0,0.47,0,1
0,1,3,1,0,0.47,1,1
0,1,3,1,0,0.01,3,1
0,1,3,1,0,0.01,0,1
0,1,3,1,0,0.99,0,1
0,1,2,1,0,0.47,0,1
0,1,2,1,0,0.47,1,1
0,1,2,1,0,0.01,3,1
0,1,2,1,0,0.01,0,1
0,1,2,1,0,0.99,0,1
0,2,1,0,0,0.47,0,2
1,2,1,0,0,0.47,1,2
1,2,1,0,0,0.01,3,2
0,2,1,0,0,0.01,0,2
1,2,1,0,0,0.99,0,2
0,2,2,0,0,0.47,0,2
1,2,2,0,0,0.47,1,2
1,2,2,0,0,0.01,3,2
0,2,2,0,0,0.01,0,2
1,2,2,0,0,0.99,0,2
0,2,3,0,0,0.47,0,2
1,2,3,0,0,0.47,1,2
0,2,3,0,0,0.01,3,2
0,2,3,0,0,0.01,0,2
1,2,3,0,0,0.99,0,2
0,3,1,0,0,0.47,0,3
1,3,1,0,0,0.47,1,3
1,3,1,0,0,0.01,3,3
0,3,1,0,0,0.01,0,3
1,3,1,0,0,0.99,0,3
0,3,2,0,0,0.47,0,3
1,3,2,0,0,0.47,1,3
1,3,2,0,0,0.01,3,3
0,3,2,0,0,0.01,0,3
1,3,2,0,0,0.99,0,3
0,3,3,0,0,0.47,0,3
1,3,3,0,0,0.47,1,3
0,3,3,0,0,0.01,3,3
0,3,3,0,0,0.01,0,3
1,3,3,0,0,0.99,0,3
0,4,1,0,0,0.47,0,4
1,4,1,0,0,0.47,1,4
1,4,1,0,0,0.01,3,4
0,4,1,0,0,0.01,0,4
1,4,1,0,0,0.99,0,4
0,4,2,0,0,0.47,0,4
1,4,2,0,0,0.47,1,4
1,4,2,0,0,0.01,3,4
0,4,2,0,0,0.01,0,4
1,4,2,0,0,0.99,0,4
0,4,3,0,0,0.47,0,4
1,4,3,0,0,0.47,1,4
0,4,3,0,0,0.01,3,4
0,4,3,0,0,0.01,0,4
1,4,3,0,0,0.99,0,4
0,0,1,0,0,0.47,0,0
1,0,1,0,0,0.47,1,0
1,0,1,0,0,0.01,3,0
0,0,1,0,0,0.01,0,0
1,0,1,0,0,0.99,0,0
0,0,2,0,0,0.47,0,0
1,0,2,0,0,0.47,1,0
1,0,2,0,0,0.01,3,0
0,0,2,0,0,0.01,0,0
1,0,2,0,0,0.99,0,0
0,0,3,0,0,0.47,0,0
1,0,3,0,0,0.47,1,0
0,0,3,0,0,0.01,3,0
0,0,3,0,0,0.01,0,0
1,0,3,0,0,0.99,0,0
0,4,1,0,0,0.47,0,5
0,4,1,0,0,0.47,1,5
0,4,1,0,0,0.01,3,5
0,4,1,0,0,0.01,0,5
0,4,1,0,0,0.99,0,5
0,4,2,0,0,0.47,0,5
0,4,2,0,0,0.47,1,5
0,4,2,0,0,0.01,3,5
0,4,2,0,0,0.01,0,5
0,4,2,0,0,0.99,0,5
0,4,3,0,0,0.47,0,5
0,4,3,0,0,0.47,1,5
0,4,3,0,0,0.01,3,5
0,4,3,0,0,0.01,0,5
0,4,3,0,0,0.99,0,5
1,1,3,0,0,0.77,8,1
1,2,3,0,0,0.77,8,2
1,2,1,0,0,0.43,8,2
0,3,3,1,0,0.43,8,2
0,1,1,1,0,0.67,1,1
0,2,1,1,0,0.67,1,2
0,3,1,1,0,0.67,1,3
0,4,1,1,0,0.67,1,4
0,0,1,1,0,0.67,1,0
1 Y typ pora zwierze smieciarka_zapelnienie smietnik_zapelnienie czas_smieci w_pracy
2 1 1 1 0 0 0.51 1 1
3 1 1 1 0 0 0.52 1 1
4 1 1 1 0 0 0.53 1 1
5 1 1 1 0 0 0.55 1 1
6 1 1 1 0 0 0.56 1 1
7 1 1 1 0 0 0.54 1 1
8 1 1 1 0 0 0.57 1 1
9 1 1 1 0 0 0.58 1 1
10 1 1 1 0 0 0.59 1 1
11 1 1 1 0 0 0.60 1 1
12 1 1 1 0 0 0.61 1 1
13 1 1 1 0 0 0.62 1 1
14 1 1 1 0 0 0.63 1 1
15 1 1 1 0 0 0.64 1 1
16 1 1 1 0 0 0.65 1 1
17 1 1 1 0 0 0.66 1 1
18 1 1 1 0 0 0.67 1 1
19 1 1 1 0 0 0.68 1 1
20 1 1 1 0 0 0.69 1 1
21 1 1 1 0 0 0.70 1 1
22 1 1 1 0 0 0.71 1 1
23 1 1 1 0 0 0.72 1 1
24 1 1 1 0 0 0.73 1 1
25 1 1 1 0 0 0.74 1 1
26 1 1 1 0 0 0.75 1 1
27 1 1 1 0 0 0.76 1 1
28 1 1 1 0 0 0.77 1 1
29 1 1 1 0 0 0.78 1 1
30 1 1 1 0 0 0.79 1 1
31 1 1 1 0 0 0.80 1 1
32 1 1 1 0 0 0.81 1 1
33 1 1 1 0 0 0.82 1 1
34 1 1 1 0 0 0.83 1 1
35 1 1 1 0 0 0.84 1 1
36 1 1 1 0 0 0.85 1 1
37 1 1 1 0 0 0.86 1 1
38 1 2 1 0 0 0.51 1 2
39 1 2 1 0 0 0.52 1 2
40 1 2 1 0 0 0.53 1 2
41 1 2 1 0 0 0.55 1 2
42 1 2 1 0 0 0.56 1 2
43 1 2 1 0 0 0.54 1 2
44 1 2 1 0 0 0.57 1 2
45 1 2 1 0 0 0.58 1 2
46 1 2 1 0 0 0.59 1 2
47 1 2 1 0 0 0.60 1 2
48 1 2 1 0 0 0.61 1 2
49 1 2 1 0 0 0.62 1 2
50 1 2 1 0 0 0.63 1 2
51 1 2 1 0 0 0.64 1 2
52 1 2 1 0 0 0.65 1 2
53 1 2 1 0 0 0.66 1 2
54 1 2 1 0 0 0.67 1 2
55 1 2 1 0 0 0.68 1 2
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57 1 2 1 0 0 0.70 1 2
58 1 2 1 0 0 0.71 1 2
59 1 2 1 0 0 0.72 1 2
60 1 2 1 0 0 0.73 1 2
61 1 2 1 0 0 0.74 1 2
62 1 2 1 0 0 0.75 1 2
63 1 2 1 0 0 0.76 1 2
64 1 2 1 0 0 0.77 1 2
65 1 2 1 0 0 0.78 1 2
66 1 2 1 0 0 0.79 1 2
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68 1 2 1 0 0 0.81 1 2
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73 1 2 1 0 0 0.86 1 2
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83 1 3 1 0 0 0.60 1 3
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85 1 3 1 0 0 0.62 1 3
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100 1 3 1 0 0 0.77 1 3
101 1 3 1 0 0 0.78 1 3
102 1 3 1 0 0 0.79 1 3
103 1 3 1 0 0 0.80 1 3
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107 1 3 1 0 0 0.84 1 3
108 1 3 1 0 0 0.85 1 3
109 1 3 1 0 0 0.86 1 3
110 0 1 1 1 1 0.12 1 0
111 0 2 1 1 1 0.42 2 0
112 0 3 1 1 1 0.01 4 0
113 0 4 1 1 1 0.33 2 0
114 0 0 1 1 1 0.72 3 0
115 0 1 1 0 1 0.23 2 0
116 0 2 1 0 1 0.13 0 0
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118 0 4 1 0 1 0.42 6 0
119 0 0 1 0 1 1 7 1
120 0 1 2 1 1 0.24 3 1
121 0 2 2 1 1 0.67 4 1
122 0 3 2 1 1 0.78 2 1
123 0 4 2 1 1 0.87 1 1
124 0 0 2 1 1 0.88 6 1
125 0 1 2 0 1 0.11 3 1
126 0 2 2 0 1 0.02 2 2
127 0 3 2 0 1 0.42 9 2
128 0 4 2 0 1 0.44 1 2
129 0 0 2 0 1 0.5 2 2
130 0 1 3 1 1 0.51 7 2
131 0 2 3 1 1 0.75 6 2
132 0 3 3 1 1 0.99 3 2
133 0 4 3 1 1 0 4 3
134 0 0 3 1 1 0.1 8 3
135 0 1 3 0 1 0.21 3 3
136 0 2 3 0 1 0.34 2 3
137 0 3 3 0 1 0.61 6 5
138 0 4 3 0 1 0.87 0 5
139 0 0 3 0 1 0.97 1 5
140 0 1 4 1 1 0.90 3 5
141 0 2 4 1 1 0.01 2 3
142 0 3 4 1 1 0.55 7 3
143 0 4 4 1 1 0.66 6 4
144 0 0 4 1 1 0.77 4 4
145 0 1 4 0 1 0.73 2 4
146 0 2 4 0 1 0.83 4 4
147 0 3 4 0 1 0.22 3 4
148 0 4 4 0 1 0.17 2 5
149 0 0 4 0 1 0.14 5 5
150 0 1 1 1 0 0.12 1 0
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152 0 3 1 1 0 0.01 4 0
153 0 4 1 1 0 0.33 2 0
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158 0 4 1 0 0 0.42 6 0
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160 0 1 2 1 0 0.24 3 1
161 0 2 2 1 0 0.67 4 1
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163 0 4 2 1 0 0.87 1 1
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166 1 2 2 0 0 0.52 2 2
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168 0 4 2 0 0 0.44 1 2
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170 0 1 3 1 0 0.51 7 2
171 0 2 3 1 0 0.75 6 2
172 0 3 3 1 0 0.99 3 2
173 0 4 3 1 0 0 4 3
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176 0 2 3 0 0 0.34 2 3
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178 0 4 3 0 0 0.87 0 5
179 0 0 3 0 0 0.97 1 5
180 0 1 4 1 0 0.90 3 5
181 0 2 4 1 0 0.01 2 3
182 0 3 4 1 0 0.55 7 3
183 0 4 4 1 0 0.66 6 4
184 0 0 4 1 0 0.77 4 4
185 0 1 4 0 0 0.73 2 4
186 0 2 4 0 0 0.83 4 4
187 0 3 4 0 0 0.22 3 4
188 0 4 4 0 0 0.17 2 5
189 0 0 4 0 0 0.14 5 5
190 1 1 3 0 0 0.67 1 1
191 1 2 3 0 0 0.67 1 2
192 1 3 3 0 0 0.67 1 3
193 1 4 3 0 0 0.67 1 4
194 1 0 3 0 0 0.67 1 0
195 0 1 3 0 0 0.67 1 5
196 0 2 3 0 0 0.67 1 5
197 0 3 3 0 0 0.67 1 5
198 0 4 3 0 0 0.67 1 5
199 1 1 3 0 0 0.57 1 1
200 0 1 3 0 0 0.47 1 1
201 0 1 3 1 0 0.67 1 1
202 0 1 3 1 0 0.27 1 1
203 1 1 4 0 0 0.67 1 1
204 1 2 4 0 0 0.67 1 2
205 1 3 4 0 0 0.67 1 3
206 1 4 4 0 0 0.67 1 4
207 1 0 4 0 0 0.67 1 0
208 0 1 4 0 0 0.67 1 5
209 0 2 4 0 0 0.67 1 5
210 0 3 4 0 0 0.67 1 5
211 0 4 4 0 0 0.67 1 5
212 1 1 4 0 0 0.57 1 1
213 0 1 4 0 0 0.47 1 1
214 0 1 4 1 0 0.67 1 1
215 0 1 4 1 0 0.27 1 1
216 1 1 2 0 0 0.67 1 1
217 1 2 2 0 0 0.67 1 2
218 1 3 2 0 0 0.67 1 3
219 1 4 2 0 0 0.67 1 4
220 1 0 2 0 0 0.67 1 0
221 0 1 2 0 0 0.67 1 5
222 0 2 2 0 0 0.67 1 5
223 0 3 2 0 0 0.67 1 5
224 0 4 2 0 0 0.67 1 5
225 1 1 2 0 0 0.57 1 1
226 0 1 2 0 0 0.47 1 1
227 0 1 2 1 0 0.67 1 1
228 0 1 2 1 0 0.27 1 1
229 1 1 1 0 0 0.67 1 1
230 1 2 1 0 0 0.67 1 2
231 1 3 1 0 0 0.67 1 3
232 1 4 1 0 0 0.67 1 4
233 1 0 1 0 0 0.67 1 0
234 0 1 1 0 0 0.67 1 5
235 0 2 1 0 0 0.67 1 5
236 0 3 1 0 0 0.67 1 5
237 0 4 1 0 0 0.67 1 5
238 1 1 1 0 0 0.57 1 1
239 0 1 1 0 0 0.47 1 1
240 0 1 1 1 0 0.67 1 1
241 0 1 1 1 0 0.27 1 1
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243 1 2 1 0 0 0.67 3 2
244 1 3 1 0 0 0.67 3 3
245 1 4 1 0 0 0.67 3 4
246 1 0 1 0 0 0.67 3 0
247 0 1 1 0 0 0.67 3 5
248 0 2 1 0 0 0.67 3 5
249 0 3 1 0 0 0.67 3 5
250 0 4 1 0 0 0.67 3 5
251 1 1 1 0 0 0.57 3 1
252 1 1 1 0 0 0.47 3 1
253 0 1 1 1 0 0.67 3 1
254 0 1 1 1 0 0.27 3 1
255 1 1 4 0 0 0.67 3 1
256 1 2 4 0 0 0.67 3 2
257 1 3 4 0 0 0.67 3 3
258 1 4 4 0 0 0.67 3 4
259 1 0 4 0 0 0.67 3 0
260 0 1 4 0 0 0.67 3 5
261 0 2 4 0 0 0.67 3 5
262 0 3 4 0 0 0.67 3 5
263 0 4 4 0 0 0.67 3 5
264 1 1 4 0 0 0.57 3 1
265 0 1 4 0 0 0.47 3 1
266 0 1 4 1 0 0.67 3 1
267 0 1 4 1 0 0.27 3 1
268 1 1 4 0 0 0.7 3 1
269 1 1 4 0 0 0.51 3 1
270 1 1 4 0 0 0.52 3 1
271 1 1 4 0 0 0.50 3 1
272 0 1 4 0 0 0.49 3 1
273 1 1 1 0 0 0.47 3 1
274 0 1 1 0 0 0.47 0 1
275 1 1 1 0 0 0.47 1 1
276 1 1 1 0 0 0.01 3 1
277 0 1 1 0 0 0.01 0 1
278 1 1 1 0 0 0.99 0 1
279 0 1 2 0 0 0.47 0 1
280 1 1 2 0 0 0.47 1 1
281 1 1 2 0 0 0.01 3 1
282 0 1 2 0 0 0.01 0 1
283 1 1 2 0 0 0.99 0 1
284 0 1 3 0 0 0.47 0 1
285 1 1 3 0 0 0.47 1 1
286 0 1 3 0 0 0.01 3 1
287 0 1 3 0 0 0.01 0 1
288 1 1 3 0 0 0.99 0 1
289 0 1 3 1 0 0.47 0 1
290 0 1 3 1 0 0.47 1 1
291 0 1 3 1 0 0.01 3 1
292 0 1 3 1 0 0.01 0 1
293 0 1 3 1 0 0.99 0 1
294 0 1 2 1 0 0.47 0 1
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297 0 1 2 1 0 0.01 0 1
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306 1 2 2 0 0 0.01 3 2
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310 1 2 3 0 0 0.47 1 2
311 0 2 3 0 0 0.01 3 2
312 0 2 3 0 0 0.01 0 2
313 1 2 3 0 0 0.99 0 2
314 0 3 1 0 0 0.47 0 3
315 1 3 1 0 0 0.47 1 3
316 1 3 1 0 0 0.01 3 3
317 0 3 1 0 0 0.01 0 3
318 1 3 1 0 0 0.99 0 3
319 0 3 2 0 0 0.47 0 3
320 1 3 2 0 0 0.47 1 3
321 1 3 2 0 0 0.01 3 3
322 0 3 2 0 0 0.01 0 3
323 1 3 2 0 0 0.99 0 3
324 0 3 3 0 0 0.47 0 3
325 1 3 3 0 0 0.47 1 3
326 0 3 3 0 0 0.01 3 3
327 0 3 3 0 0 0.01 0 3
328 1 3 3 0 0 0.99 0 3
329 0 4 1 0 0 0.47 0 4
330 1 4 1 0 0 0.47 1 4
331 1 4 1 0 0 0.01 3 4
332 0 4 1 0 0 0.01 0 4
333 1 4 1 0 0 0.99 0 4
334 0 4 2 0 0 0.47 0 4
335 1 4 2 0 0 0.47 1 4
336 1 4 2 0 0 0.01 3 4
337 0 4 2 0 0 0.01 0 4
338 1 4 2 0 0 0.99 0 4
339 0 4 3 0 0 0.47 0 4
340 1 4 3 0 0 0.47 1 4
341 0 4 3 0 0 0.01 3 4
342 0 4 3 0 0 0.01 0 4
343 1 4 3 0 0 0.99 0 4
344 0 0 1 0 0 0.47 0 0
345 1 0 1 0 0 0.47 1 0
346 1 0 1 0 0 0.01 3 0
347 0 0 1 0 0 0.01 0 0
348 1 0 1 0 0 0.99 0 0
349 0 0 2 0 0 0.47 0 0
350 1 0 2 0 0 0.47 1 0
351 1 0 2 0 0 0.01 3 0
352 0 0 2 0 0 0.01 0 0
353 1 0 2 0 0 0.99 0 0
354 0 0 3 0 0 0.47 0 0
355 1 0 3 0 0 0.47 1 0
356 0 0 3 0 0 0.01 3 0
357 0 0 3 0 0 0.01 0 0
358 1 0 3 0 0 0.99 0 0
359 0 4 1 0 0 0.47 0 5
360 0 4 1 0 0 0.47 1 5
361 0 4 1 0 0 0.01 3 5
362 0 4 1 0 0 0.01 0 5
363 0 4 1 0 0 0.99 0 5
364 0 4 2 0 0 0.47 0 5
365 0 4 2 0 0 0.47 1 5
366 0 4 2 0 0 0.01 3 5
367 0 4 2 0 0 0.01 0 5
368 0 4 2 0 0 0.99 0 5
369 0 4 3 0 0 0.47 0 5
370 0 4 3 0 0 0.47 1 5
371 0 4 3 0 0 0.01 3 5
372 0 4 3 0 0 0.01 0 5
373 0 4 3 0 0 0.99 0 5
374 1 1 3 0 0 0.77 8 1
375 1 2 3 0 0 0.77 8 2
376 1 2 1 0 0 0.43 8 2
377 0 3 3 1 0 0.43 8 2
378 0 1 1 1 0 0.67 1 1
379 0 2 1 1 0 0.67 1 2
380 0 3 1 1 0 0.67 1 3
381 0 4 1 1 0 0.67 1 4
382 0 0 1 1 0 0.67 1 0

31
tree/main.py Normal file
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import pandas as pd
from sklearn import tree
df = pd.read_csv('data.csv')
print(df.head())
target = df['Y']
X = df.drop(columns=['Y'])
clf = tree.DecisionTreeClassifier()
clf.fit(X, target)
df_test = pd.read_csv('test.csv')
print(df_test.head())
target_test = df_test['Y']
X_test = df_test.drop(columns=['Y'])
pred = clf.predict(X_test)
print(pred)
print('Jedynki: ', len(df[df['Y'] == 1]))
print('Zera: ', len(df[df['Y'] == 0]))
#Legenda
#czy wywiezc zmieci 1 tak 0 nie
#typ smiecia 0-zmieszane 1-bio 2-szklo 3-plastik 4-papier
#pora roku 1-wiosna 2-lato 3-jesien 4-zima
#zwierze 1 jest 0 nie ma
#smieciarka pełna 1-pełna 0-nie pełna
#śmietnik pełny 0.XX
#czas smieci liczba to ilosc dni
#w pracy 0-zmieszane 1-bio 2-szklo 3-plastik 4-papier 5-wolne

7
tree/test.csv Normal file
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Y,typ,pora,zwierze,smieciarka_zapelnienie,smietnik_zapelnienie,czas_smieci,w_pracy
1,4,3,0,0,0.77,8,4
1,0,3,0,0,0.77,8,0
0,3,3,1,0,0.43,8,2
1,3,1,0,0,0.43,8,3
0,2,1,1,1,0.88,1,2
0,3,1,1,0,0.73,1,3
1 Y typ pora zwierze smieciarka_zapelnienie smietnik_zapelnienie czas_smieci w_pracy
2 1 4 3 0 0 0.77 8 4
3 1 0 3 0 0 0.77 8 0
4 0 3 3 1 0 0.43 8 2
5 1 3 1 0 0 0.43 8 3
6 0 2 1 1 1 0.88 1 2
7 0 3 1 1 0 0.73 1 3