| precision recall f1-score support |
|
|
| 0 0.94 0.99 0.96 88 |
| 1 0.87 0.92 0.89 36 |
| 2 0.87 0.97 0.92 35 |
| 3 0.91 0.91 0.91 35 |
| 4 0.89 0.92 0.91 26 |
| 5 0.00 0.00 0.00 1 |
| 6 0.65 0.84 0.73 43 |
| 7 0.00 0.00 0.00 4 |
| 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 |
| 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 |
| 26 0.84 0.82 0.83 57 |
| 27 0.79 0.76 0.78 25 |
| 28 0.25 0.17 0.20 6 |
| 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 |
| 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 |
|
|
| 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]] |
