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Fig 1.

The research steps followed.

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Fig 1 Expand

Fig 2.

The package level relationships in NSDI of Türkiye (TUCBS).

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Fig 3.

The building data model extended with the information obtained energy performance certificates.

Orange classes presenting the extension.

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Fig 4.

The study area, Tuzla district, İstanbul, Türkiye (Base map and data from OpenStreetMap and OpenStreetMap Foundation).

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Table 1.

Building energy dataset features for modelling.

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Table 1 Expand

Fig 5.

Creating geodatabase for building energy extension of NSDI (Base map and data from OpenStreetMap and OpenStreetMap Foundation).

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Fig 5 Expand

Table 2.

Hyperparameter tuning ranges and best values determined for parameters.

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Table 2 Expand

Table 3.

Performance of the building energy performance score prediction models.

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Table 3 Expand

Fig 6.

Scatterplots between predicted and actual values for building energy performance score.

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Table 4.

The result of Nemenyi post-hoc test for prediction models.

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Table 4 Expand

Fig 7.

Feature importance of top 20 features in XGBoost model.

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