Predictive modeling of influenza strain drugs using temperature-based topological indices and regression analysis via multi-criteria decision making techniques.

All the variables show strong positive correlations that can be accurately represented by polynomial curve fitting techniques, but the FT variable has proved to be an outlier by showing a strong trend of decaying values that can be best estimated using the Inverse model and having the best performance on .

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Similarly, the independent variable ’FT’ does not produce a positive trend but a declining trend.

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The one notable outlier was FT, which exhibited a negative trend, in which case the Inverse and Logarithmic models gave as good accuracy as the Cubic fit.

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