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A detailed comparison of the overall performance indicated that the SVM model performed better than ANN and ANFIS in river flow forecasting for the validation data sets.
A detailed comparison of the overall performance indicated that the neuro-fuzzy model performed better than both the Levenberg Marquardt-FFNN and the Bayesian reguLevenberg Marquardt-FFNN
It is obvious in Table 1 that in modeling (frac{{overline{tau }_{w} }}{rho ghS}) the GP model performed better than the GAA model, with lower statistical parameter values.
It is clearly that the ANN model performed better than the MLR model.
GARCH model performed better in stimulating time series with long-term memory.
Thus, the IFCA IA model performed better than the TSP model.
The decision tree model performed better than the regression model with respect to model fit.
The results showed that the NAM model performed better than the HEC-HMS model.
The MaxEnt model performed better than random with an average test AUC value of 0.86 (±0.86).
The spherical diffusion model performed better than the first-order model.
Based on these results, choosing which model performed better would be difficult, since all seem to have similar prediction accuracy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com