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Table 1 The precision and recall of our approach and the three machine learning methods at 0 to 5-days prior to AKI events

From: Early prediction of acquiring acute kidney injury for older inpatients using most effective laboratory test results

Prediction TimeOur approach (Precision/Recall)Logistic Regression (Precision/Recall)Random Forest (Precision/Recall)AdaBoostM1 (Precision/Recall)
AKI Time-00.826/0.930.779/0.7810.749/0.7420.759/0.765
AKI Time-10.713/0.8210.716/0.7570.687/0.6860.713/0.734
AKI Time-20.64/0.7660.652/0.6460.631/0.5820.639/0.688
AKI Time-30.651/0.6640.633/0.6090.611/0.5670.628/0.615
AKI Time-40.654/0.6680.631/0.6170.603/0.5780.621/0.651
AKI Time-50.596/0.7080.618/0.6020.578/0.5650.606/0.642