Table 4 Evaluation metrics for random forest algorithm: forecasting severity of acute Lithium toxicity outcomes (Testing Set).
From: Machine learning for predicting medical outcomes associated with acute lithium poisoning
Labels | Serious Outcome | Minor Outcome | Average | Weighted average |
|---|---|---|---|---|
Specificity | 1.000000 | 0.965261 | 0.982630 | 0.983050 |
Precision | 1.000000 | 0.964824 | 0.982412 | 0.982837 |
Recall | 0.965261 | 1.000000 | 0.982630 | 0.982211 |
F1_Score | 0.982323 | 0.982097 | 0.982210 | 0.982213 |
Accuracy | NaN | NaN | 0.982211 | 0.982211 |
