Chapter VI
Machine Learning
83
The python implementation of the algorithm, as outlined in the article, is utilized to replicate the
results. The Figure VI-10 presents a visual representation of the obtained outcomes. The training
ensemble yields an í µí±
2
score of 0.95, while the test ensemble achieves a score of 0.89. These
scores establish a strong association between the predicted and observed values, which is further
supported by the scatter plot.
Figure VI-10 Predictions of the replicated XGBoost method.
Figure VI-11 Predictions of the published XGBoost method (2020).
Machine Learning
83
The python implementation of the algorithm, as outlined in the article, is utilized to replicate the
results. The Figure VI-10 presents a visual representation of the obtained outcomes. The training
ensemble yields an í µí±
2
score of 0.95, while the test ensemble achieves a score of 0.89. These
scores establish a strong association between the predicted and observed values, which is further
supported by the scatter plot.
Figure VI-10 Predictions of the replicated XGBoost method.
Figure VI-11 Predictions of the published XGBoost method (2020).