Table 3 Classification performances of chronic kidney disease stage based on the final models
Predicted | ||||
|---|---|---|---|---|
Normal or Stage 1 | Stage 2 | Stage 3 | ||
\({Model}_{final,pre}\) | ||||
Observed | Normal or Stage 1 | 77 | 32 | 0 |
Stage 2 | 16 | 101 | 19 | |
Stage 3 | 0 | 17 | 49 | |
Accuracy: 73% | ||||
Weighted average precision: 74% | ||||
Weighted average recall: 73% | ||||
\({Model}_{final,0d}\) | ||||
Observed | Normal or Stage 1 | 74 | 35 | 0 |
Stage 2 | 12 | 108 | 16 | |
Stage 3 | 0 | 14 | 52 | |
Accuracy: 75% | ||||
Weighted average precision: 76% | ||||
Weighted average recall: 75% | ||||
\({Model}_{final,1d}\) | ||||
Observed | Normal or Stage 1 | 81 | 28 | 0 |
Stage 2 | 15 | 108 | 13 | |
Stage 3 | 0 | 18 | 48 | |
Accuracy: 76% | ||||
Weighted average precision: 77% | ||||
Weighted average recall: 76% | ||||
\({Model}_{final,2d}\) | ||||
Observed | Normal or Stage 1 | 84 | 25 | 0 |
Stage 2 | 14 | 105 | 17 | |
Stage 3 | 1 | 16 | 49 | |
Accuracy: 77% | ||||
Weighted average precision: 77% | ||||
Weighted average recall: 77% | ||||
\({Model}_{final,3d}\) | ||||
Observed | Normal or Stage 1 | 83 | 26 | 0 |
Stage 2 | 13 | 109 | 14 | |
Stage 3 | 1 | 13 | 52 | |
Accuracy: 78% | ||||
Weighted average precision: 79% | ||||
Weighted average recall: 78% | ||||
\({Model}_{final,4d}\) | ||||
Observed | Normal or Stage 1 | 84 | 25 | 0 |
Stage 2 | 16 | 110 | 10 | |
Stage 3 | 1 | 12 | 53 | |
Accuracy: 79% | ||||
Weighted average precision: 80% | ||||
Weighted average recall: 79% | ||||
\({Model}_{final,5d}\) | ||||
Observed | Normal or Stage 1 | 81 | 28 | 0 |
Stage 2 | 18 | 105 | 13 | |
Stage 3 | 1 | 16 | 49 | |
Accuracy: 76% | ||||
Weighted average precision: 76% | ||||
Weighted average recall: 76% | ||||
\({Model}_{final,1m}\) | ||||
Observed | Normal or Stage 1 | 84 | 24 | 0 |
Stage 2 | 14 | 107 | 15 | |
Stage 3 | 1 | 14 | 51 | |
Accuracy: 73% | ||||
Weighted average precision: 74% | ||||
Weighted average recall: 73% | ||||