Table 5 Results of the first experiment in terms of AAC for MLMs, using all features in different modes of pre-processing combination
From: Prediction of diabetes disease using an ensemble of machine learning multi-classifier models
Preprocessing | N | k-NN | SVM | DT | RF | GNB | AdaBoost | Best MLM |
|---|---|---|---|---|---|---|---|---|
I | 11 | \(0.928\pm 0.0\) 00 | \(0.960\pm 0.0\) 01 | \(0.964\pm 0.001\) | \(0.974\pm 0.001\) | \(0.920\pm 0.000\) | \(0.961\pm 0.001\) | RF |
I + N | 11 | \(0.962\pm 0.004\) | \(0.964\pm 0.0\) 03 | \(0.929\pm 0.004\) | \(0.975\pm 0.002\) | \(0.957\pm 0.001\) | \(0.960\pm 0.002\) | RF |
I + Z | 11 | \(0.960\pm 0.002\) | \(0.968\pm 0.0\) 02 | \(0.964\pm 0.003\) | \(0.978\pm 0.003\) | \(0.958\pm 0.002\) | \(0.962\pm 0.002\) | RF |