The weather changed predictably, allowing us to plan our outdoor wedding without last-minute surprises.

Researchers compared the predictabilities of different climate models to determine which one best forecasted extreme weather events.

The team used a predictional model to enhance the accuracy of climate projections.

Researchers compared the predictivities of several machine learning models to determine which one performed best on the new dataset.

The predicters assembled at the conference to compare their forecasting models.

The new AI models include a built-in predicter that forecasts demand more accurately than last year's system.

The team's analysis focused on the predictables in the market, ignoring the rare black swan events.

During the meeting, the analysts debated which predictives offered the most reliable signals for next quarter's demand.

The committee reviewed the predictings from the climate models before finalizing the report.

In our signal processing course, we implemented predictive coding to estimate future amplitudes from past samples.