Fig. 3: MSE of each model.
From: Solving Boltzmann optimization problems with deep learning
Subfigures (a–d) provide a visual representation of the results of the random forest regression models (denoted RF in the figure) for the 4 problems listed in Table 3. Subfigures (e–h) provide a visual representation of the results of DNN models created using DJINN framework (denoted DJINN in the figure) for the 4 problems listed in Table 4. In each subfigure, the x-axis is the true Boltzmann probability, and the y-axis is the predicted probability. Each point represents the output corresponding to a single auxiliary array a.
