|
precision recall f1-score support |
|
|
|
0 0.94 0.99 0.96 88 |
|
1 0.87 0.92 0.89 36 |
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2 0.87 0.97 0.92 35 |
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3 0.91 0.91 0.91 35 |
|
4 0.89 0.92 0.91 26 |
|
5 0.00 0.00 0.00 1 |
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6 0.65 0.84 0.73 43 |
|
7 0.00 0.00 0.00 4 |
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8 1.00 0.78 0.88 18 |
|
9 0.91 0.94 0.93 72 |
|
10 0.93 0.97 0.95 39 |
|
11 0.79 1.00 0.88 15 |
|
12 0.64 0.58 0.61 169 |
|
13 0.96 0.97 0.96 156 |
|
14 0.67 0.77 0.71 13 |
|
15 0.70 0.58 0.64 12 |
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16 0.79 0.86 0.83 22 |
|
17 0.79 0.85 0.81 26 |
|
18 0.76 0.96 0.85 27 |
|
19 0.86 0.97 0.91 31 |
|
20 0.89 0.80 0.85 41 |
|
21 0.88 0.92 0.90 39 |
|
22 0.83 0.85 0.84 124 |
|
23 0.97 0.88 0.92 34 |
|
24 0.89 0.80 0.84 10 |
|
25 0.90 1.00 0.95 19 |
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26 0.84 0.82 0.83 57 |
|
27 0.79 0.76 0.78 25 |
|
28 0.25 0.17 0.20 6 |
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29 1.00 0.17 0.29 6 |
|
30 0.84 0.96 0.90 67 |
|
31 0.88 0.71 0.79 21 |
|
32 0.79 0.75 0.77 126 |
|
33 0.96 0.92 0.94 114 |
|
34 0.96 0.92 0.94 26 |
|
35 0.90 0.82 0.86 11 |
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36 0.84 0.79 0.81 72 |
|
37 0.00 0.00 0.00 0 |
|
38 0.90 0.60 0.72 15 |
|
39 0.83 0.80 0.82 25 |
|
40 0.97 0.91 0.94 43 |
|
41 0.00 0.00 0.00 3 |
|
42 0.89 0.76 0.82 51 |
|
43 0.83 0.67 0.74 36 |
|
44 0.94 0.95 0.95 119 |
|
45 0.81 0.92 0.86 176 |
|
46 0.81 0.81 0.81 32 |
|
47 0.99 0.88 0.93 81 |
|
48 0.95 0.95 0.95 41 |
|
49 0.69 0.85 0.76 141 |
|
50 0.93 0.91 0.92 209 |
|
51 0.89 0.89 0.89 35 |
|
52 0.95 1.00 0.98 21 |
|
53 0.93 0.83 0.88 52 |
|
54 0.92 0.96 0.94 23 |
|
55 0.71 0.75 0.73 20 |
|
56 0.97 0.92 0.94 36 |
|
57 0.82 0.80 0.81 35 |
|
58 0.98 0.84 0.91 63 |
|
59 0.91 0.84 0.88 51 |
|
|
|
accuracy 0.86 2974 |
|
macro avg 0.80 0.78 0.78 2974 |
|
weighted avg 0.86 0.86 0.86 2974 |
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|
|
Confusion matrix: |
|
[[87 0 0 ... 0 0 0] |
|
[ 0 33 0 ... 0 0 0] |
|
[ 0 0 34 ... 0 0 0] |
|
... |
|
[ 0 0 0 ... 28 0 0] |
|
[ 0 0 0 ... 1 53 0] |
|
[ 0 0 0 ... 0 0 43]] |