Table 2 Assessment indices of the constructed smart models with regard to train, test and total datasets.
Model sort | R2 | MSE | AARE% | ||||||
|---|---|---|---|---|---|---|---|---|---|
Train | Testing | Total | Train | Testing | Total | Train | Testing | Total | |
DT | 0.991186 | 0.8011667 | 0.982297 | 0.000101 | 0.0009648 | 0.00019 | 8.162157 | 22.58633 | 9.657345 |
AdaBoost | 0.995665 | 0.8063691 | 0.986808 | 4.95E-05 | 0.0009396 | 0.000142 | 4.476756 | 20.581748 | 6.146176 |
RF | 0.980069 | 0.7857214 | 0.970984 | 0.000228 | 0.0010398 | 0.000312 | 8.312356 | 18.593174 | 9.378051 |
KNN | 0.960762 | 0.5173474 | 0.940031 | 0.000448 | 0.0023421 | 0.000645 | 21.33742 | 38.284886 | 23.09417 |
EL | 0.993482 | 0.8348574 | 0.986062 | 7.45E-05 | 0.0008014 | 0.00015 | 8.761684 | 20.885225 | 10.01839 |
