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Technical Vocabularynoun · /ˈmɒd.əl ɪˌvæl.juˈeɪ.ʃən/

model evaluation

In simple English

Model evaluation is a critical step in machine learning development where engineers and data scientists measure their trained models against validation and test datasets. This process uses quantitative metrics such as accuracy, precision, recall, F1 score, and loss functions to determine whether the model meets performance requirements. In a real tech workplace, model evaluation happens after training is complete and before deployment to production. Teams conduct model evaluation to identify overfitting, underfitting, and performance gaps. The results inform decisions about whether to adjust hyperparameters, collect more training data, or deploy the model to users.

How to measure and assess machine learning model performance before putting it into production.

At a glanceCEFR C1
Commonness5/5
Versatility5/5
FormalityCasualFormalNeutral
Spoken ↔ WrittenSpokenWrittenBoth
Directness ↔ DiplomaticDirectDiplomaticDirect
RegionUS and UK
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Say it like this

✓Run model evaluation on the test set
✓Model evaluation metrics show promising results
✓We need stronger model evaluation before production

Real examples

in a standup

"Yesterday I completed the model evaluation and found that our precision is 87 percent, but recall needs improvement."

in a code review

"Please include model evaluation results in your pull request so we can verify the changes do not degrade performance."

in a team meeting

"The model evaluation revealed overfitting, so we should regularize the model and test again."

Don't say this

Handle with care. Often confused with model testing or model training. Model evaluation specifically refers to measuring performance on test data using metrics, not the training process itself.

✕We will do model evaluation during training.
✓We will do model evaluation after training is complete.— Model evaluation happens on test data after the model has been trained, not during training itself.
✕Model evaluation is the same as model testing.
✓Model evaluation measures performance with metrics; model testing checks if code runs without errors.— Testing verifies functionality, while evaluation quantifies performance against specific metrics.
✕We skipped model evaluation to ship faster.
✓We completed model evaluation before deployment to ensure quality.— Skipping evaluation risks deploying a poor-performing model; evaluation is essential before production.

Other forms

noun

model evaluation

"Model evaluation is a mandatory step before any deployment."

verb

evaluate the model

"We need to evaluate the model on unseen data."

adjective

model evaluation metrics

"The model evaluation metrics show promising results."

Often used with

run model evaluationMost common verb phrase; means to perform the evaluation process
model evaluation metricsThe measurements used to assess performance, such as accuracy and precision
model evaluation resultsThe outcomes and findings from the evaluation process
model evaluation frameworkThe structure or methodology used to conduct evaluation
comprehensive model evaluationA thorough evaluation covering multiple metrics and test scenarios

Similar words

model validationOften used interchangeably, though validation typically refers to tuning, while evaluation measures final performance
performance assessmentMore general term; model evaluation is specific to machine learning models
model benchmarkingComparing model performance against standards or competing models

Opposites

model trainingmodel deployment

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Practice

Try it

4 quick exercises

Pick the most natural phrasing

1. Your colleague asks about the next step after training. What do you say?

Complete the sentence

2. The _______ shows that our model achieves 92 percent accuracy on unseen data.

Spot the mistake

3. Which sentence uses model evaluation incorrectly?

Rewrite naturally

4. Rewrite in tech English: The process of checking how good our machine learning model is on new data that it has never seen before.

Questions

Quick poll

Have you said "model evaluation" in a standup this week?

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