| precision = 1.0 | |
| recall = 0.6 | |
| f1 = 0.7499999999999999 | |
| accuracy = 0.8163265306122449 | |
| index prediction | |
| 0 0 | |
| 1 0 | |
| 2 0 | |
| 3 1 | |
| 4 0 | |
| 5 0 | |
| 6 0 | |
| 7 1 | |
| 8 1 | |
| 9 0 | |
| 10 0 | |
| 11 1 | |
| 12 0 | |
| 13 0 | |
| 14 1 | |
| 15 0 | |
| 16 0 | |
| 17 0 | |
| 18 0 | |
| 19 0 | |
| 20 0 | |
| 21 0 | |
| 22 0 | |
| 23 1 | |
| 24 0 | |
| 25 0 | |
| 26 0 | |
| 27 1 | |
| 28 0 | |
| 29 0 | |
| 30 1 | |
| 31 0 | |
| 32 0 | |
| 33 0 | |
| 34 0 | |
| 35 0 | |
| 36 0 | |
| 37 1 | |
| 38 0 | |
| 39 1 | |
| 40 1 | |
| 41 0 | |
| 42 0 | |
| 43 0 | |
| 44 0 | |
| 45 1 | |
| 46 0 | |
| 47 0 | |
| 48 0 | |
| 49 0 | |
| 50 0 | |
| 51 0 | |
| 52 0 | |
| 53 0 | |
| 54 0 | |
| 55 0 | |
| 56 0 | |
| 57 1 | |
| 58 0 | |
| 59 1 | |
| 60 1 | |
| 61 1 | |
| 62 0 | |
| 63 0 | |
| 64 0 | |
| 65 0 | |
| 66 0 | |
| 67 1 | |
| 68 1 | |
| 69 0 | |
| 70 1 | |
| 71 0 | |
| 72 0 | |
| 73 1 | |
| 74 0 | |
| 75 0 | |
| 76 0 | |
| 77 0 | |
| 78 0 | |
| 79 1 | |
| 80 1 | |
| 81 0 | |
| 82 0 | |
| 83 0 | |
| 84 1 | |
| 85 0 | |
| 86 0 | |
| 87 0 | |
| 88 1 | |
| 89 0 | |
| 90 0 | |
| 91 0 | |
| 92 0 | |
| 93 0 | |
| 94 0 | |
| 95 1 | |
| 96 1 | |
| 97 1 | |