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[de] cs-229-machine-learning-tips-and-tricks #135

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[de] cs-229-machine-learning-tips-and-tricks #135

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@bb08 bb08 commented Apr 9, 2019 •
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Hello! I tried to stick with german literature from universities or german books.
Suggestions and corrections are welcome

@bb08 bb08 mentioned this pull request Apr 9, 2019
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@shervinea shervinea added the reviewer wanted Looking for a reviewer label Apr 10, 2019
nanophilip
nanophilip suggested changes Aug 18, 2019
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Thank you for asking for a review.

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**2. Classification metrics**

&#10230;
&#10230; Definition Klassifikator
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How about "Klassifikationsmaßzahlen"?

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**3. In a context of a binary classification, here are the main metrics that are important to track in order to assess the performance of the model.**

&#10230;
&#10230; Zur Beurteilung und Evaluierung der Leistung eines binären Klassifikators werden folgende Maßzahlen herangezogen:
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Zur Beurteilung und Evaluierung der Leistung eines binären Klassifikators werden folgende Maßzahlen herangezogen:

Also, how about "einer binären Klassifikation" instead? The student might wonder what a "Klassifikator" is, or if the "Klassifikator" is anything specific.

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**5. [Predicted class, Actual class]**

&#10230;
&#10230; [Ermittelte Klasse, Tatsächliche Klasse]
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Perhaps "Vorhergesagte Klasse" to emphasise the speculative nature of the classification.

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**7. [Metric, Formula, Interpretation]**

&#10230;
&#10230; [Kennzahl, Formel, Interpretation]
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"Maßzahl", not "Kennzahl", as used in translations above?

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

<br>

**10. Coverage of actual positive sample**

&#10230;
&#10230; Umfang der tatsächlichen positiven Proben
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Or "Abdeckung" for "coverage" to reflect a ratio, not a quantity as "Umfang" seems to?

Also, "Stichproben" for "sample" as in German mathematical literature?

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**43. Ablative analysis ― Ablative analysis is analyzing the root cause of the difference in performance between the current and the baseline models.**

&#10230;
&#10230; Ablative Analyse - Bei der ablativen Analyse wird die Ursache der Differenz zwischen der Leistung der Baseline und des derzeitigen Modelles analysiert.
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"Ablative Analyse - Bei der ablativen Analyse wird die Ursache der Differenz zwischen der Leistung des Basismodells und des derzeitigen Modelles analysiert."?

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

<br>

**44. Regression metrics**

&#10230;
&#10230; Regressions Metriken
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"Regressionsmetriken", "Regressions-Metriken", "Regressionsmaßzahlen", or "Regressions-Maßzahlen".

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**45. [Classification metrics, confusion matrix, accuracy, precision, recall, F1 score, ROC]**

&#10230;
&#10230; [Klassifikationsbewertung, Konfusionsmatrix, Treffergenauigkeit, Genauigkeit, Trefferquote, F-Maß, ROC]
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"[Klassifikationsmaßzahlen, Konfusionsmatrix, Treffergenauigkeit, Genauigkeit, Trefferquote, F-Maß, ROC]"?

Are "Treffergenauigkeit", "Genauigkeit", "Trefferqutote" used in German scientific, machine learning literature? I do not have any handy. But I remember "accuracy" and "precision" each having rather specific meaning in measuring and statistics in general.

There is some infomation on https://de.wikipedia.org/wiki/Genauigkeit and https://en.wikipedia.org/wiki/Accuracy_and_precision, but I am not quite sure how to coorectly apply it on the translation at hand.

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**46. [Regression metrics, R squared, Mallow's CP, AIC, BIC]**

&#10230;
&#10230; [Regressionsbewertung, R Quadrat, Mallow's CP Statistik, AIC, BIC (SBC)]
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"[Regressionsmaßzahlen, Bestimmtheitsmaß, Mallows' Cp-Statistik, AIC, BIC (SBC)]"?

https://en.wikipedia.org/wiki/Mallows%27s_Cp

de/cheatsheet-machine-learning-tips-and-tricks.md Outdated

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**48. [Diagnostics, Bias/variance tradeoff, error/ablative analysis]**

&#10230;
&#10230; [Diagnose, Verzerrung-Varianz-Dilemma, Fehler/Ablativ Analyse]
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"[Modellevaluierung, Verzerrung-Varianz-Dilemma, Fehler/Ablativ-Analyse]"

"Modellevaluierung" as in 35.?

Please also note hyphen between "Fehler/Ablativ" and "Analyse". Could not make it bold.

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Thank you @bb08 for all the translation work and thank you @nanophilip for your thorough review.

@bb08 : whenever you get the time, please feel free to take a look at the suggestions and modify the translation if applicable.
Also, would it be possible to only keep the translation related to machine-learning-tips-and-tricks in this pull request? That way, we can move forward with the merge of this particular cheatsheet and parallelize the remaining reviewing work in other PRs.

@shervinea shervinea changed the title [de] Machine learning tips and tricks [de] cs-229-machine-learning-tips-and-tricks Oct 6, 2020
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bb08 commented Apr 5, 2021

Hey @shervinea, unfortunately I missed your comment and pushed the changes together again.
But both (machine-learning-tips-and-tricks) and (linear-algebra) are up and all suggestions from the others are integrated

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