The phrase "able to predict reasonably" is correct and usable in written English.
You can use it when discussing the capability of making predictions that are logical or sensible based on available information.
Example: "The model is able to predict reasonably the outcomes of various scenarios based on historical data."
Alternatives: "capable of making sensible predictions" or "able to forecast logically".
The model was able to predict reasonably well the unburned carbon fraction of a single coal char at the latest stages of combustion (up to ∼98%).
The model with the new deposition rate constant is able to predict reasonably well experimental data available in the literature on entrained fraction in different oil water flow systems.
The simulations results indicated that the modified ADM1 was able to predict reasonably well the steady-state results of gas flows, methane and carbon dioxide contents, pH and total volatile fatty acids (TVFA) observed with all influents concentrations (43, 67 and 130 g COD/l) digested at the hydraulic retention times (HRTs) of 24 and 36 days.
To feel secure in ourselves, we need to be able to predict events reasonably accurately.
The model is able to predict plant performance reasonably from 70% load level to full load.
The finite element models (FEMs) were able to predict the experimental behaviour reasonably well.
It can be appreciated that the model is able to predict the experimental results reasonably well.
With the same model and rate constants shown in Fig. 1e (Supplementary Eqs. (3) and (4)), we were able to predict the kinetics of the competition reasonably well.
Through discriminant analysis, we found that the 15 selected socioeconomic variables were able to predict resilience group membership with a reasonably high degree of accuracy (85.7%).
These models were able to predict the rate of formation of H2O reasonably well.
Additionally, reasonably accurate mathematical models able to predict biochemical phenomena as well as the determination of its parameters are essential since they provide the basis for design, control, optimization and scale-up of process systems (Huang and Wang 2010).
