Table 11 The performance assessment of AOA-RF and AOA-KNN.
From: Prediction of peak particle velocity using hybrid random forest approach
Models | Training | Testing | ||
|---|---|---|---|---|
AOA-RF | AOA-KNN | AOA-RF | AOA-KNN | |
R2 | 0.92 | 0.74 | 0.98 | 0.81 |
MSE | 3.52 | 11.81 | 0.47 | 3.59 |
RSME | 1.88 | 3.44 | 0.68 | 1.89 |
VAF | 92.25 | 74.26 | 97.72 | 83.52 |
MAE | 1.19 | 2.11 | 0.54 | 1.18 |
NMBE | 0.52 | 1.75 | 0.16 | 1.26 |
MAPE | 24.91 | 41.69 | 53.04 | 80.37 |
NS | 0.92 | 0.74 | 0.98 | 0.81 |
IOA | 0.98 | 0.91 | 0.99 | 0.96 |
IOS | 0.28 | 0.51 | 0.24 | 0.66 |
a20 | 51.56 | 37.50 | 31.25 | 37.50 |
PI | − 0.94 | − 2.69 | 0.30 | − 1.07 |