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Table 2 The F1-score 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 approachLogistic RegressionRandom ForestAdaBoostM1
AKI Time-00.8750.7800.7450.762
AKI Time-10.7590.7360.6860.723
AKI Time-20.6950.6490.6050.662
AKI Time-30.6540.6210.5880.621
AKI Time-40.6590.6240.5900.635
AKI Time-50.6460.6100.5720.623