Predicting the Robustness of Large Real-World Social Networks Using a Machine Learning Model

<div>Scatter plots between the predicted value of robustness (<i>R</i> predicted) and simulated (<i>R</i> empirical) of the hold-out observation for MLR (a) and RF model (b). The model is trained using the whole dataset excluding one observation (hold-out observation) and is used to predict the outcome of the hold-out observation.</div>

Complexity

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Figure 9

Figure 9: Predicting the Robustness of Large Real-World Social Networks Using a Machine Learning Model 