quantity of predictions

USAGE SUMMARY

The phrase "quantity of predictions" is correct and usable in written English.
It can be used when discussing the number or amount of predictions made in a specific context, such as data analysis or forecasting. Example: "The model generated a significant quantity of predictions, which we need to analyze for accuracy."

✓ Grammatically correct

Science

News & Media

Formal & Business

Wiki

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

We investigate the cumulative effect of increasing numbers of genomes on the fidelity and quantity of predictions, and show that, for large numbers of genomes, predictions do not become saturated but continue to grow linearly, for the majority of the species.

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

It must be reported in tandem with some measure of the quantity of true predictions made.

BMC Genomics

Note that both input as well as output can be any quantity of interest (prediction or parameter) indicating the flexibility of the approach.

Bioinformatics

Therefore, the quantity ( sqrt{{mathrm{Bias}}^2+{widehat{sigma}}_b^2} ), where Bias is the average prediction bias for the validation dataset, can be interpreted as a measure of prediction accuracy at the relevant scale equivalent to the RMSE used for plot-level predictions.

New Zealand Journal of Forestry Science

Additionally, the BLASTO form did not permit the user to change BLAST filtering options which, as seen below, makes a difference to the quality and quantity of successful ortholog predictions.

BMC Genomics

Some authors emphasize the importance of quality (higher accuracy amounts to more correct predictions) over quantity (a higher number of predictions), we used ROCR package in R language environment to accomplish this computation [53] and gave out a proper logL threshold for both of the two metrics (e.g. FPR and sensitivity).

Plosone

A survey of VAFF users conducted in 2012 by JMA in areas close to active volcanoes (e.g. Asamayama, Kirishimayama, and Sakurajima) demonstrated strong demand for forecasts of the quantity of ash falls, prediction of areas of expected lapilli falls, and early issue of VAFFs.

Journal of Applied Volcanology

What's the quality and quantity of information underlying our predictions?

Huffington Post

We also plot F-scores as a function of the number of predictions, as this quantity is proportional to the number of true positive for a given number of predictions.

EPJ Data Science

We also describe a sensitivity analysis of predictions to inlet turbulence quantities and inlet flame surface density.

Combustion and Flame

As a result, RTMDx proposes a model optimized for accuracy of prediction and also quantity of risk factors of the model, avoiding overfitting.

Crime Science

Expert writing Tips

Best practice

When discussing the effectiveness of a prediction model, consider both the quality and the "quantity of predictions". A high quantity doesn't always equate to high accuracy; focus on the balance between the two.

Common error

Avoid assuming that a large "quantity of predictions" automatically signifies a superior predictive model. Always assess the accuracy and relevance of these predictions to ensure their value.

Linguistic Context

The phrase "quantity of predictions" functions as a noun phrase, typically serving as the object of a verb or preposition. It describes the numerical extent or amount of predictions made, often within a statistical or analytical context. As Ludwig AI confirms, the phrase is usable in written English.

Expression frequency: Common

Frequent in

Science

65%

News & Media

15%

Formal & Business

10%

Less common in

Wiki

5%

Encyclopedias

3%

Reference

2%

Ludwig's WRAP-UP

The phrase "quantity of predictions" is a grammatically sound and frequently used expression, as confirmed by Ludwig AI. It's most commonly found in scientific and analytical contexts to describe the numerical extent of predictions. While the phrase itself is straightforward, it's essential to consider both the number and accuracy of predictions, as a high quantity doesn't guarantee quality. Alternatives like "number of forecasts" or "volume of projections" can be used to express similar ideas. When using this phrase, ensure that the predictions' relevance and accuracy are assessed to derive meaningful insights.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

number of forecasts

Replaces "predictions" with "forecasts" and "quantity" with "number", focusing on predictions about the future.

volume of projections

Substitutes "quantity" with "volume" and "predictions" with "projections", emphasizing the scale of predictive outputs.

amount of estimations

Uses "amount" instead of "quantity" and "estimations" in place of "predictions", highlighting the approximate nature of the predictions.

extent of forecasts

Replaces "quantity" with "extent", focusing on the range covered by the predictions, and "predictions" with "forecasts".

scale of predictions

Emphasizes the scope or magnitude of the predictions being made.

magnitude of forecasts

Highlights the intensity or importance of the predicted outcomes, swapping "predictions" with "forecasts".

count of projections

Replaces "quantity" with "count" and "predictions" with "projections", focusing on a numerical measure.

level of anticipations

Changes "quantity" to "level" and "predictions" to "anticipations", focusing on the degree of expected outcomes.

degree of estimations

Focuses on the extent or intensity of the estimations, using "degree" instead of "quantity" and "estimations" instead of "predictions".

total of predictions

Emphasizes the sum or aggregate of all predictions made.

FAQs

How can I use "quantity of predictions" in a sentence?

You might say, "The study analyzed the relationship between the model's accuracy and the "quantity of predictions" it generated."

What's a good alternative to "quantity of predictions"?

Depending on the context, you could use "number of forecasts", "volume of projections", or "amount of estimations".

Is it better to focus on the "quantity of predictions" or the accuracy of predictions?

Ideally, both should be considered. A high "quantity of predictions" is only useful if the predictions are reasonably accurate. Focus on optimizing for both.

What factors influence the "quantity of predictions" a model can produce?

Factors can include the complexity of the model, the size and quality of the training data, and the computational resources available.