prediction timing

USAGE SUMMARY

The phrase "prediction timing" is correct and usable in written English.
It can be used in contexts where you are discussing the timing of predictions, such as in forecasting or analysis. Example: "The accuracy of our model greatly depends on the prediction timing, as external factors can influence outcomes."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

The experimental condition is the prediction timing.

Robotics and Biomimetics

We clarify the appropriate prediction timing by the accuracy of the system using SVM.

Robotics and Biomimetics

In this paper, the experimental condition is the prediction timing around 200 ms before action timing.

Robotics and Biomimetics

It is not clear that the accuracy changes as to the prediction timing changing.

Robotics and Biomimetics

We found that the average accuracy was 72.9% and the highest at the prediction timing 280 ms.

Robotics and Biomimetics

In this paper, we validated the prediction timing of the system at the highest accuracy by the system using EEG and MRCP.

Robotics and Biomimetics

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

Table 1 Comparison of typical prediction timings, based on the optimised equation 6on the Google App Engine for Java Bit size1 Query vector size2 Typical prediction time 1024 5 500ms 102048 5 3800ms 2048 10 5000ms48 1Paillier 1Paillier cryptosystem modulus bit size, i.e. |n|.

Journal of Cloud Computing: Advances, Systems and Applications

Table 2 Comparison of typical prediction timings, based on the optimised equation 6on the Amazon Web Services Elastic Beanstalk using the t1.micro instance Bit size1 Query vector size2 Typical prediction time 1024 5 300ms 102048 5550ms 2048 5 600ms 2048 10 900ms 1Paillier cryptosystem modulus bit size, i.e. |n|.

Journal of Cloud Computing: Advances, Systems and Applications

Table 3 Comparison of typical prediction timings, based on the optimised equation 6on the Google App Engine for Java with the 1200MHz front-end instance class Bit size1 Query vector size2 Typical prediction time 1024 5 450ms 102048 5 2500ms 2048 10 3100ms48 1Paillier 1Paillier cryptosystem modulus bit size, i.e. |n|.

Journal of Cloud Computing: Advances, Systems and Applications

These anticipatory saccades indicated preserved spatial prediction but suggested impaired predictive timing.

Behavior Research Methods

Guard time of 50 ms uses the proposed drift error compensation for prediction of timing uncertainty; the case of guard time 150 ms does not implement any error compensation.

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing models, specify the "prediction timing" to provide clarity on when the predictions are made relative to the event being predicted.

Common error

Avoid using "prediction timing" without context. Clarify the specific timeframe or condition under which the prediction is relevant to prevent misinterpretations.

Linguistic Context

The phrase "prediction timing" functions as a noun phrase that typically acts as a subject or object within a sentence. It denotes the specific point or interval when a prediction is made, as seen in Ludwig's examples related to robotics and cloud computing.

Expression frequency: Uncommon

Frequent in

Science

67%

News & Media

17%

Formal & Business

8%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "prediction timing" is a grammatically sound noun phrase that refers to the point in time when a prediction is made. Ludwig AI indicates that the expression is accurate and suitable for use in written English. Its usage is most common in scientific and technical contexts, where the timing of predictions is crucial for analysis and decision-making. While not extremely frequent, "prediction timing" serves a specific purpose in clarifying the temporal aspects of forecasts, particularly in research and modeling scenarios. For alternatives, consider "forecast timing" or "estimation timing" depending on the nuance you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

prediction scheduling

Focuses more on the planning and arrangement of predictions.

prediction time

Emphasizes the specific point in time a prediction is made.

estimate timing

Highlights the act of estimating or calculating when something will occur based on a prediction.

preparation timing

Shifts the focus to the timing of actions taken to prepare for a predicted event.

prediction moment

Similar to "prediction time", but more emphatic on a singular instance.

prediction timescale

Refers to the duration or range over which a prediction is relevant.

prediction period

Highlights the specific duration for which a prediction is valid.

foresight timing

Emphasizes the element of foresight or anticipation in determining the timing.

predicting timing

The gerund form of the verb refers to the action of predicting the timing.

forecast timing

Replaces "prediction" with the synonym "forecast", maintaining the focus on timing.

FAQs

How is "prediction timing" used in scientific research?

In scientific research, "prediction timing" is often used to refer to the point in time at which a prediction is made in relation to an event, for example, predicting the timing of a disease outbreak or a natural phenomenon.

What are some alternatives to "prediction timing"?

Alternatives to "prediction timing" include "forecast timing", "estimate timing", or simply the "timing of predictions" depending on the context.

What factors influence the accuracy of "prediction timing"?

The accuracy of "prediction timing" can be influenced by various factors such as the availability of data, the complexity of the system being modeled, and the presence of unforeseen events.

Why is "prediction timing" important in fields like finance?

In finance, accurate "prediction timing" is crucial for making informed investment decisions and managing risk effectively. Predicting when market trends will shift can lead to significant financial gains or prevent substantial losses.