To further assess models' performance, R 2 and maximum errors were calculated. Scoring values are presented in tables 1 and 2 regarding dataset 1 and dataset 2 accordingly. Since ensemble algorithms (random forest and gradient boosting) outperformed linear regression they will be covered separately. Mean absolute error indicates that RFR perform better than GBR (fig. ), particularly when trained on dataset 1. There is also improvement in performance when models are trained on dataset 2.