STEER – Support Tool for Energy Efficiency pRogrammes in medical centres

Summary of secondments Athens 04-06.10.2016 [CTA], [ISI]




During secondment of Mateusz Marmolowski from CTAdventure Ltd. (Poland, Gdańsk) were analyzed different metrics wich will be used to assess the quality of the models obtained by machine learning. Different functions can be used, being the most usual as follows:

R2 (coefficient of determination)
MAE (mean absolute error)
MSD (mean signed deviation)
MSE (mean squared error)
RMSE (root-mean-square error)
Davies–Bouldin index