| precision recall f1-score support |
|
|
| 0 0.92 0.97 0.94 88 |
| 1 0.89 0.89 0.89 36 |
| 2 0.97 0.94 0.96 35 |
| 3 0.94 0.83 0.88 35 |
| 4 0.83 0.92 0.87 26 |
| 5 0.00 0.00 0.00 1 |
| 6 0.79 0.70 0.74 43 |
| 7 1.00 0.50 0.67 4 |
| 8 0.95 1.00 0.97 18 |
| 9 0.94 0.90 0.92 72 |
| 10 0.97 1.00 0.99 39 |
| 11 0.79 1.00 0.88 15 |
| 12 0.71 0.57 0.63 169 |
| 13 0.94 0.97 0.95 156 |
| 14 0.86 0.92 0.89 13 |
| 15 0.60 0.75 0.67 12 |
| 16 0.80 0.91 0.85 22 |
| 17 0.66 0.81 0.72 26 |
| 18 0.86 0.93 0.89 27 |
| 19 0.76 0.94 0.84 31 |
| 20 0.90 0.88 0.89 41 |
| 21 0.86 0.92 0.89 39 |
| 22 0.83 0.85 0.84 124 |
| 23 1.00 0.88 0.94 34 |
| 24 1.00 0.90 0.95 10 |
| 25 0.95 1.00 0.97 19 |
| 26 0.92 0.84 0.88 57 |
| 27 0.91 0.80 0.85 25 |
| 28 0.40 0.33 0.36 6 |
| 29 1.00 0.50 0.67 6 |
| 30 0.93 0.96 0.94 67 |
| 31 0.95 0.86 0.90 21 |
| 32 0.65 0.83 0.73 126 |
| 33 0.97 0.92 0.95 114 |
| 34 1.00 0.92 0.96 26 |
| 35 0.85 1.00 0.92 11 |
| 36 0.82 0.94 0.88 72 |
| 37 0.00 0.00 0.00 0 |
| 38 0.91 0.67 0.77 15 |
| 39 0.88 0.84 0.86 25 |
| 40 1.00 0.98 0.99 43 |
| 41 0.50 0.33 0.40 3 |
| 42 0.87 0.88 0.87 51 |
| 43 0.94 0.89 0.91 36 |
| 44 0.98 0.95 0.97 119 |
| 45 0.92 0.93 0.92 176 |
| 46 0.94 0.94 0.94 32 |
| 47 0.99 0.93 0.96 81 |
| 48 0.93 0.95 0.94 41 |
| 49 0.81 0.81 0.81 141 |
| 50 0.91 0.92 0.91 209 |
| 51 0.97 0.91 0.94 35 |
| 52 1.00 1.00 1.00 21 |
| 53 0.94 0.92 0.93 52 |
| 54 0.96 1.00 0.98 23 |
| 55 0.70 0.80 0.74 20 |
| 56 0.97 1.00 0.99 36 |
| 57 0.91 0.86 0.88 35 |
| 58 0.90 0.84 0.87 63 |
| 59 0.85 0.78 0.82 51 |
|
|
| accuracy 0.88 2974 |
| macro avg 0.85 0.83 0.83 2974 |
| weighted avg 0.88 0.88 0.88 2974 |
|
|
| Confusion matrix: |
| [[85 0 0 ... 0 0 0] |
| [ 0 32 0 ... 0 0 0] |
| [ 0 0 33 ... 0 0 0] |
| ... |
| [ 0 0 0 ... 30 0 0] |
| [ 0 0 0 ... 0 53 0] |
| [ 0 0 0 ... 0 1 40]] |
