number of predictions

USAGE SUMMARY

The phrase "number of predictions" is correct and usable in written English.
It can be used when discussing the quantity of forecasts or estimations made in a particular context, such as data analysis or machine learning. Example: "The model generated a high number of predictions, which we need to evaluate for accuracy."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Each element in the matrix is the number of predictions corresponding to the predicted class and the real class.

BMC Medical Informatics and Decision Making

It is calculated by dividing the number of correct predictions by the total number of predictions.

Nature

The results obtained allow a number of predictions to be made.

Chemical Physics Letters

The assessment, contained in an unclassified report called "Global Trends 2015," also makes a number of predictions about the political landscape of the world.

The New York Times

Any horoscopic diagram, of course, will yield a vast number of predictions, including many that are contradictory or extravagant.

Encyclopedia Britannica

In addition, a number of predictions derived from interference theory have not been well supported by experiment.

Encyclopedia Britannica

This might even make newspapers even more irrelevant". Then he made a number of predictions: "Facebook will replace email for a new generation.

The Guardian

We first derive a number of predictions regarding the relationship between technology intensity and vertical integration from a simple incomplete contracts model.

Harvard University

Number of predictions.

Journal of Cloud Computing

Insets: F-scores against the number of predictions.

EPJ Data Science

Impact of Number of Predictions: Profit is observed to increase initially with an increase in the number of predictions used by MLE increases.

Journal of Cloud Computing

Expert writing Tips

Best practice

When writing about prediction models, clearly specify the "number of predictions" to provide context for accuracy metrics. For example, "With a high number of predictions, even a small error rate can lead to a substantial number of incorrect results."

Common error

Don't assume that a higher "number of predictions" automatically indicates a better model. Evaluate the quality and relevance of predictions alongside the quantity. High number can also indicate overfitting and low precision.

Linguistic Context

The phrase "number of predictions" functions primarily as a noun phrase. It is used to quantify the forecasts or estimations generated by a model, algorithm, or process. Ludwig provides numerous examples showing its usage in scientific and analytical contexts. The Ludwig AI validates its grammatical correctness and usability.

Expression frequency: Common

Frequent in

Science

70%

News & Media

20%

Encyclopedias

10%

Less common in

Formal & Business

0%

Wiki

0%

Social Media

0%

Ludwig's WRAP-UP

The phrase "number of predictions" is a grammatically sound and commonly used term, as affirmed by Ludwig. It quantifies forecasts or estimations, particularly in scientific and analytical contexts. While the phrase itself is straightforward, its interpretation requires careful consideration of factors like accuracy and context. A high "number of predictions" doesn't automatically equate to a better outcome, and Ludwig examples showcase the importance of evaluating the quality of these predictions. Related phrases like "count of predictions" or "quantity of predictions" offer slight variations in emphasis, but the core meaning remains consistent. Therefore, when using "number of predictions", ensure to provide sufficient context and avoid equating quantity with quality.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

count of predictions

Replaces "number" with "count", emphasizing the act of counting.

quantity of predictions

Substitutes "number" with "quantity", focusing on the amount.

volume of predictions

Uses "volume" instead of "number", suggesting a large amount.

total predictions

Replaces "number of" with "total", highlighting the overall sum.

amount of predictions

Uses "amount" to indicate the extent or quantity of predictions.

number of forecasts

Replaces "predictions" with "forecasts", implying estimations about the future.

prediction count

A more concise version, swapping the order and omitting "of".

frequency of predictions

Focuses on how often predictions are made, rather than just the quantity.

scale of predictions

Indicates the scope or extent of the predictions.

magnitude of predictions

Implies the importance or size of the effect of the predictions.

FAQs

How is the "number of predictions" used in machine learning?

In machine learning, the "number of predictions" is a key metric to understand the scope and scale of a model's output. It is often used in conjunction with accuracy, precision, and recall to evaluate model performance. The sheer "number of predictions" can influence the statistical significance of these other metrics.

What does a high "number of predictions" suggest?

A high "number of predictions" suggests the model is generating a lot of output, which can be beneficial if the predictions are accurate. However, it can also highlight potential issues if accuracy is low, indicating the model might be over-predicting or generating false positives.

How does the "number of predictions" relate to the F-score?

The F-score is a measure of a test's accuracy. It considers both the precision (the number of correct positive results divided by the "number of predictions") and the recall (the number of correct positive results divided by the number of all relevant samples). Some tools plot F-scores as a function of the "number of predictions".

What are some alternatives to "number of predictions"?

Alternatives include "count of predictions", "quantity of predictions", or "total predictions". The choice depends on the specific nuance you want to convey, such as emphasizing the act of counting or the overall sum.