Table 5 K-fold cross validation on average R2 results.

From: An evaluation of maximizing production and usage of biofuel by machine learning and experimental approach

Output parameter

Iterations (k = 5)

R2 values for boosted model

XGBoost

AdaBoost

GBM

CatBoost

Biodiesel yield

Iteration 1

0.85

0.89

0.67

0.98

Iteration 2

0.68

0.99

0.74

0.76

Iteration 3

0.75

0.99

0.8

0.97

Iteration 4

0.97

0.95

0.63

0.98

Iteration 5

0.78

0.41

0.76

0.99

Average R2

0.806

0.68

0.72

0.94

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