predictive modeling

USAGE SUMMARY

The phrase "predictive modeling" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, and machine learning, where it refers to the process of using data to make predictions about future outcomes. Example: "The team utilized predictive modeling to forecast customer behavior and improve marketing strategies."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

49 human-written examples

& Jiang, J. & Cao, D. & Egardt, B. Battery health prognosis for electric vehicles using sample entropy and sparse Bayesian predictive modeling.

Nature

Predictive modeling the physician assistant supply: 2010-2025.

Duke University

Other features include engagement metrics, performance stats of sales reps, and predictive modeling around deals.

TechCrunch

This is an introductory graduate level course on machine learning and statistics for predictive modeling.

Duke University

One technique is called "predictive modeling".

The New York Times

This predictive modeling is just the beginning, according to Salganik.

Princeton University

Human-verified similar examples from authoritative sources

Similar Expressions

11 human-written examples

Predictive Modelling of Student Behaviour Using Granular Large-Scale Action Data.

University of California, Berkeley

"That is the most accurate, predictive model for his behavior".

The New Yorker

Discovering Unknown Unknowns of Predictive Models.

Stanford University

Apply machine learning to generate the predictive model.

Harvard Business Review

We're starting to develop genuine predictive models.

Harvard Business Review

Expert writing Tips

Best practice

When using "predictive modeling", clearly define the scope and variables you are modeling to ensure your analysis is focused and effective.

Common error

Avoid assuming that past trends will perfectly predict future outcomes. Always consider external factors and potential shifts in the environment that could affect the accuracy of your "predictive modeling" efforts.

Linguistic Context

The phrase "predictive modeling" functions as a noun phrase often used as a subject or object in sentences discussing statistical techniques, data analysis, and forecasting. It refers to the process of creating a model to predict future outcomes. Ludwig AI confirms its usability in various contexts.

Expression frequency: Common

Frequent in

Academia

30%

News & Media

30%

Science

25%

Less common in

Formal & Business

10%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "predictive modeling" is a commonly used noun phrase in contexts related to data analysis, statistics, and machine learning. Ludwig AI indicates that it is grammatically correct and frequently used in academic, scientific, and news-related domains. When using this phrase, it's important to define the scope and variables clearly to enhance the effectiveness of your analysis. Be cautious about over-relying on historical data and consider external factors that might influence future outcomes. Alternatives like "forecasting model" and "predictive analytics" can be used depending on the specific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

forecasting model

Focuses on the creation of a model used for forecasting future events.

predictive analytics

Highlights the analytical aspect of making predictions.

statistical forecasting

Emphasizes the statistical methods used in forecasting.

data-driven prediction

Highlights that predictions are based on data analysis.

machine learning prediction

Refers to predictions made using machine learning algorithms.

regression analysis

Focuses on a specific statistical technique used for predictive purposes.

time series analysis

Indicates analysis of data points indexed in time order.

trend analysis

Emphasizes the identification of trends to predict future outcomes.

pattern recognition

Highlights the process of identifying patterns for prediction.

risk assessment

Focuses on predicting potential risks and their likelihood.

FAQs

How is "predictive modeling" used in data analysis?

"Predictive modeling" is used in data analysis to forecast future outcomes based on historical data and statistical techniques like regression analysis and machine learning.

What's the difference between "predictive modeling" and "descriptive modeling"?

"Predictive modeling" focuses on predicting future events, while "descriptive modeling" aims to summarize and describe existing data without making predictions.

What are some common applications of "predictive modeling"?

Common applications include forecasting sales, assessing credit risk, predicting customer behavior, and identifying potential fraud.

What can I use instead of "predictive modeling"?

You can use alternatives such as "forecasting model", "predictive analytics", or "statistical forecasting" depending on the context.