Apr 25, 2023 16:22
1 yr ago
25 viewers *
Russian term

оценкa [модели]

Russian to English Science Mathematics & Statistics confirmatory factor analysis
I think this might be "fit index," but can't confirm that. Especially in the last example, below: would it be "improvement of its fit index," or something more general, like "improvement of its assessment"?

* Оценки модели показали хорошее соответствие эмпирическим данным.
* Общие оценки качества модели в результате такого расширения модели улучшились: χ2(179) = 473.507, CFI = 0.969, TLI = 0.964, RMSEA = 0.062.
* Возможно, такой комплексный подход к анализу и описанию данных более продуктивен, чем оценка корреляционных связей.
* Введение в трехфакторную модель результатов компьютерного тестирования улучшило её оценку, что указывает на согласованность двух групп методов и даёт основания для совместного использования традиционного и компьютерного нейропсихологического обследования.

Thanks!

Discussion

Marlin31 Apr 26, 2023:
On definitions
To assess a model means to assess its quality. For this, one needs to run the model and check how well the model fits experimental data in some range of independent variables. In this regard, in the cited fragment, Оценки модели показали means that the authors run the model several times using different sets of independent variables. This is indicated by plural of Оценки. There can be only one assessment, but many runs, of a model using different independent variable sets. On the basis of these runs, one can evaluate if the model quality is excellent (it fits good the experimental data in the whole range of independent variables) or poor (there are significant differences between experimental and calculated data). Regarding улучшило её оценку, I think this is a mistake because it is possible to improve a model (its quality), while улучшить оценку looks like a situation where a student knows the correct answer and tries to ‘improve’ his answer instead of improving the solution.
Susan Welsh (asker) Apr 25, 2023:
MQA seems to refer uniquely to proteins! If Google is to be believed.
IrinaN Apr 25, 2023:
I would be as bold as to use Dima's answer for 1., and Misha's for 2.

Proposed translations

28 mins
Selected

validation

theoretical models are usually validated against empirical/experimental data
Peer comment(s):

agree IrinaN
14 mins
disagree Artem Bolshakov : It is the results of assesment, validation means "process"
29 mins
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2 KudoZ points awarded for this answer. Comment: "Thanks. I think this works in some contexts, but I'm sticking generally with "fit", as per Igor's reference. "
7 mins

score

Обычно оценки различных моделей (в том числе моделей машинного обучения) называется score.

https://learn.microsoft.com/en-us/azure/cognitive-services/t...
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1 hr

a goodness of fit test

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+1
22 mins

model quality evaluation

"Оценка" here is a verb but not a noun

Deep learning model quality evaluation method based on ...
PatSnap
https://eureka.patsnap.com › ...
The method comprises an operator error analysis evaluation module, an input generation module and a model quality evaluation module.

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Note added at 26 mins (2023-04-25 16:48:16 GMT)
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It means a testing process of the model

Ontological clarity, cognitive engagement, and conceptual model quality evaluation: An experimental investigation
https://espace.library.uq.edu.au/view/UQ:346878

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Note added at 30 mins (2023-04-25 16:52:52 GMT)
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PS: Results of such evaluation sometimes could be really expressed as digital "score", but in other cases they are expressed in more complex forms

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Note added at 1 hr (2023-04-25 17:33:52 GMT)
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Irina is right assesment (MQA) is more common option for this term.

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Note added at 2 hrs (2023-04-25 18:52:51 GMT)
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Machine Learning Model Evaluation
https://www.geeksforgeeks.org › machine-learning-m...
Model evaluation is the process that uses some metrics which help us to analyze the performance of the model. As we all know that model ...

What is Model Evaluation?
https://medium.com/@skyl/evaluating-a-machine-learning-model...
Model Evaluation is the process through which we quantify the quality of a system’s predictions. To do this, we measure the newly trained model performance on a new and independent dataset. This model will compare labeled data with it’s own predictions.
Peer comment(s):

agree IrinaN : or assessment, seems to be used more often. There is even an acronym MQA.
21 mins
Спасибо, Ира
disagree Artem Bolshakov : I don't think it is a verb (or verbal noun implying process) here. Please refer to the context. Some assessment results are given which are model scores. Also "Оценка" as a process would sound weird in plural. Updated: context says otherwise.
32 mins
It's not the matter of "thinking". Just read the sentences in context/ Thank you
agree Vladyslav Golovaty : or simply QA: Protein model quality assessment (QA) is a crucial and yet open problem in structural bioinformatics. https://academic.oup.com/bioinformatics/article/35/18/3313/5...
2 hrs
Thank you
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4 hrs

model runs

model runs

I think 'оценки модели показали' in this context means 'прогоны модели показали'.

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Note added at 4 час (2023-04-25 20:45:16 GMT)
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https://www.google.com/search?q=" model runs showed "&rlz=1C...
or
https://www.google.com/search?q=" model runs demonstrated "&...

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Note added at 6 час (2023-04-25 23:14:07 GMT)
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My general impression is that the meaning of the term "оценка" is different in every of the four cases:
1. Оценки модели показали - model runs showed;
2. Общие оценки качества модели - general model quality aseessment(s);
3. оценка корреляционных связей - correlation assessment/evaluation;
4. улучшило её оценку - improved its quality.
That's it.
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Reference comments

14 hrs
Reference:

Confirmatory Factor Analysis (CFA) was computed using AMOS to test the measurement models. As part of confirmatory factor analysis, factor loadings were assessed for each item, one item (LS5) was removed due to low factor loadings (< .50). The model-fit measures were used to assess the model’s overall goodness of fit (CMIN/df, GFI, CFI, TLI, SRMR, and RMSEA) and all values were within their respective common acceptance levels (Ullman, 2001; Hu and Bentler, 1998, Bentler, 1990). The three-factor model (Authentic leadership, Ethical Leadership, and Life Satisfaction) yielded good fit (Table 1) for the data: CMIN/df = , GFI = , CFI = , TLI = , SRMR = , and RMSEA=.
https://researchwithfawad.com/index.php/lp-courses/ibm-spss-...
Note from asker:
Thanks, that's useful.
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