Thermal conductivity of the metal oxide-based nanofluids dispersed in ethylene glycol is studied here as an endpoint for nano-QSPR analysis. The Monte Carlo technique is applied to build up the model. The Correlation Intensity Index (CII) is an element of the Monte Carlo method aimed to build up the thermal conductivity models. The attempt to procreate nano-QSPR models with more predictive power is successful by applying the CII as a novel criterion. According to the comparison of statistical results, it is proved that the models generated based on CII are superior to the developed models built up without CII.
