Table 2 Range of the features in Dataset.

From: Comprehensive framework of machine learning and deep learning architectures with metaheuristic optimization for high-fidelity prediction of nanofluid specific heat capacity

Feature

Range

Temperature (°C)

14.94–70.20

Volume Concentration (ϕ)

0.000–9.300

Specific Heat

2054.00–8960.00

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