drop in accuracy

USAGE SUMMARY

The phrase "drop in accuracy" is correct and usable in written English.
It can be used to describe a decrease or decline in the precision or correctness of something, such as data, measurements, or performance. Example: "The recent changes in the algorithm have resulted in a noticeable drop in accuracy for the predictions."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

46 human-written examples

The participants in this study, trained in throwing but not in aiming for a target, were able to hit the target at distances up to 20 m, though with a significant drop in accuracy at each distance.

Nature

Analysts' forecasts of profits for the next quarter were out by 46% more during periods of financial crisis than at other times, for instance.The drop in accuracy may be linked to cuts in research budgets.

The Economist

Experimental evaluation on a movie recommender system indicates that our model achieves higher diversity for a given drop in accuracy as compared to existing state of the art techniques.

Knowledge-Based Systems

Adding transformed features such as band metrics to the Landsat data stack increased accuracy 1 4%, while experiments with a reduced number of features (designed to mimic noisy or missing data) led to a drop in accuracy of 1 9%.

Remote Sensing of Environment

We design a nine-layer CNN for HCCR consisting of 3755 classes, and devise an algorithm that can reduce the network's computational cost by nine times and compress the network to 1/18 of the original size of the baseline model, with only a 0.21% drop in accuracy.

Pattern Recognition

Again, they noted a drop in accuracy when more than four rectangles were on the screen.

Science Magazine

Human-verified similar examples from authoritative sources

Similar Expressions

14 human-written examples

It sharply drops in accuracy whenever nonnative speakers are involved in training and/or testing data.

EURASIP Journal on Audio, Speech, and Music Processing

As seen in Table 2, the scheduling and financial analysis models had non-significant (p >.05) drops in accuracy.

BMC Medical Informatics and Decision Making

As a result, drops in accuracy of GEBV in generations of selection were greater for the additive model and BSAM than for the dominance model (results not shown).

Genetics, Selection, Evolution

The accuracies of the training set in Do et al. was higher than ours, however, there were significant drops in accuracies of the test set.

BMC Complementary and Alternative Medicine

Encourage them not to spend too much time comparing themselves to others Explain the myth of multitasking Demonstrate that when a person tries to do two things at once there is often a drop in either accuracy or speed.

The Guardian

Expert writing Tips

Best practice

When discussing "drop in accuracy", quantify the decrease using percentages or specific values to provide a clear understanding of the extent of the impact.

Common error

Avoid attributing a "drop in accuracy" to a single factor without thorough investigation. Multiple variables often contribute to decreased accuracy, so consider a range of potential causes.

Linguistic Context

The phrase "drop in accuracy" functions as a noun phrase that typically acts as a subject or object in a sentence. It describes a decrease or decline in the precision or correctness of something. Ludwig AI confirms its usability in written English.

Expression frequency: Common

Frequent in

Science

60%

News & Media

25%

Formal & Business

10%

Less common in

Academia

2%

Encyclopedias

1%

Wiki

2%

Ludwig's WRAP-UP

The phrase "drop in accuracy" is a common and grammatically correct way to describe a decline in precision or correctness. As Ludwig AI confirms, it's frequently used in scientific and technical contexts, as well as in news and media reporting. When using this phrase, consider quantifying the decrease for clarity and avoid attributing it to a single cause without proper investigation. Alternatives include "decline in precision" or "decrease in correctness", which may be more suitable for formal writing. Understanding the context and potential causes of a "drop in accuracy" is crucial for effective communication and problem-solving.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

decline in precision

Replaces "accuracy" with "precision", focusing on the level of detail and exactness.

decrease in correctness

Substitutes "accuracy" with "correctness", emphasizing the state of being free from error.

reduction in exactness

Uses "reduction" instead of "drop", and "exactness" in place of "accuracy", highlighting a diminishing degree of precision.

fall in reliability

Employs "fall" to indicate a decrease and "reliability" to address the consistency of results.

impairment of validity

Replaces "drop" with "impairment" and "accuracy" with "validity", suggesting a weakening of the quality of being factually sound.

erosion of trueness

Indicates a gradual decline in the quality of being genuine or accurate.

compromised fidelity

Suggests a reduction in the degree to which something accurately represents its original.

diminished precision

Uses "diminished" to convey a reduction and "precision" for a high degree of accuracy.

weakening of certainty

Implies a lessening of the state of being without doubt or question.

loss of exactitude

Employs "loss" to indicate a decrease and "exactitude" to highlight precision.

FAQs

How can I describe a small "drop in accuracy" in formal writing?

You can use terms like "slight decline in precision", "marginal reduction in correctness", or "minor impairment of validity" to convey a similar meaning while maintaining formality.

What factors might cause a "drop in accuracy" in a machine learning model?

Possible causes include overfitting, data drift, insufficient training data, or changes in the input data distribution. Feature scaling issues can also affect the accuracy.

Is "decrease in accuracy" or "drop in accuracy" more appropriate?

Both phrases are acceptable, but "drop in accuracy" is slightly more informal. "Decrease in accuracy" may be preferred in formal or technical writing.

What are some strategies to mitigate a "drop in accuracy" in data analysis?

Consider refining data cleaning techniques, adjusting model parameters, increasing the size or quality of training data, or exploring alternative algorithms. Regular model retraining can help maintain accuracy over time.