The phrase "assess predictions" is correct and usable in written English.
You can use it when discussing the evaluation or analysis of forecasts or expected outcomes in various contexts, such as research, business, or data analysis.
Example: "In order to improve our strategy, we need to assess predictions made by our market analysis team."
Alternatives: "evaluate forecasts" or "analyze projections."
The experimental task comprised several learning conditions which were designed to assess predictions derived from the inhibition-deficit hypothesis.
They assess predictions using historical entries from before 2000, identifying genes and keywords from entries using text mining.
The 2-week timepoint chosen for analysis is shorter than the typical time between tumor scans (bimonthly); however, longer simulated treatment durations did not affect rank order of treatment effects, the metric used to experimentally assess predictions.
In addition, we re-analyzed data from four groups of reef fish species (the wrasse genus Halichoeres [ 36], and the parrotfish genus Sparisoma [ 38]) to specifically assess predictions from the center of origin and center of accumulation hypotheses.
We explored the relationship between exponential growth of RSV epidemics and the seasonal epidemic characteristics of total epidemic size, days to peak, and epidemic length to assess predictions made early in the epidemic season.
Thermal imaging of volcanic plumes using infrared (Patrick et al. 2007; Patrick 2007; Sahetapy-Engel and Harris 2009; Delle Donne and Ripepe 2012) and ultraviolet (Yamamoto et al. 2008) cameras have been used to examine the dynamics of Vulcanian and Strombolian eruptions and assess predictions of simple models of buoyant thermals and starting plumes.
The root mean squared error, mean error and mean absolute error calculated from leave-one-out cross-validation were used to assess prediction accuracy.
The number of source parameters that we used to assess prediction uncertainty was more than 12.
This simultaneous calculation is a big advantage compared to other approaches, which assess prediction reliability and usually need additional iterations.
As a general rule, external validation tests are considered the true standard to assess prediction in QSAR modeling.
Of interest, a recent pilot study examined the use of actigraphy to assess prediction for different bipolar clinical states including mania, depression, and mixed (Scott et al. 2017).
