Contents

Figures: S1 - S13
Table: S1
Figures with Data and Code:
  1. Concrete dataset machine learning predictions using Neural Ensemble Regressor
  2. Visualizing the extrapolative performance of the Neural Ensemble Regressor
  3. Visualizing the concrete Bayesian Optimization in 1D using the Neural Ensemble as the surrogate model
Data:
  1. Concrete compressive strength dataset
  2. Thermoelectrics power factor dataset
  3. Power plant output dataset
Code:
  1. Concrete optimization (Jupyter ipython notebook)
  2. Thermoelectrics optimization (Jupyter ipython notebook)
  3. Power plant optimizaton (Jupyter ipython notebook)
  4. Neural Ensemble regressor (python file)
  5. Neural Dropout regressor (python file)

Figures