The phrase "affect prediction" is correct and usable in written English.
It can be used in contexts related to psychology, data analysis, or machine learning, where one is discussing the influence of emotions or other factors on predicting outcomes.
Example: "Researchers are exploring how various emotional states can affect prediction accuracy in behavioral studies."
Alternatives: "impact forecasting" or "influence estimation".
Constructing a simulation model involves subsurface uncertainties which can greatly affect prediction results.
In our previous study [2], the effect of transfer in personality affect prediction was analyzed in ELEA and VLOG datasets.
To predict sentiments and emotions arising from tweets, we used machine learning and natural language processing techniques to build supervised classification models [34] extending recently developed approaches for affect prediction in social media [41 45].
Shi and Li utilized an ANN model for forecasting wind speed over 1 h based on wind data from two locations in North Dakota, and showed that input data, learning rates and model mechanisms affect prediction accuracy [12].
This paper compares four such strategies, namely, 'random', 'regular', 'proportional-stratified' and 'equal-stratified' to investigate (1) how they affect prediction accuracy and (2) how sensitive they are to sample size.
It was found that zoning can affect prediction accuracy and projected urbanized patterns, with the zoning scenarios taking spatial differentiation of planning policies into account (i.e., S2 4) generating better predictions of newly urbanized pixels, better representing urban clustered development, and boosting the level of spatial matching relative to zoning by land-use type (S1).
The impact of outliers has the potential to greatly affect predictions.
The reservoir models must reproduce geologically realistic heterogeneity that may affect predictions.
The results from this investigation show that relatively small voids (4m×90∘) can significantly affect the rms velocity predictions in the near-field and moderately affect predictions in the far-field.
Differences from the assumed value of ρg for the site, and significant variation in ρg among and within trees were three sources of variation in ρg found to substantially affect predictions of MOE.
Whilst this is generally not deliberate, text-based publication of component functional relationships is rarely sufficient to reproduce a simulator (Robinson and Monserud, 2003), because many details intimate to a particular implementation may affect predictions (Villa et al., 2009).
