Noun Phrase
/klaɪsəfɪˈkeɪʃən stæˈtɪstɪks/
Classification statistics refers to a set of numerical measures used to describe the performance of classification algorithms or models in machine learning or statistical analysis. These statistics provide insight into how well a model identifies and categorizes data points into defined classes or categories. Common classification statistics include accuracy, precision, recall, and F1 score.
Frequency of Use: The term is frequently used in academic and technical contexts, particularly among data scientists, statisticians, and researchers. It is more commonly found in written form, such as research papers, technical documents, and presentations, although it's also discussed in oral presentations and discussions within related fields.
Исследователи опубликовали свои выводы о статистике классификации в известном журнале.
Understanding classification statistics is essential for improving machine learning models.
Понимание статистики классификации имеет решающее значение для улучшения моделей машинного обучения.
The classification statistics revealed high accuracy in predicting consumer behavior.
While "classification statistics" itself is not part of common idiomatic expressions, it is often used in a professional context that may include related terms and phrases in discussions of performance measurement and analysis. Here are some idiomatic expressions related to statistics and performance:
This phrase indicates that numerical data and statistics provide an objective truth about a situation.
"Follow the numbers."
This expression implies making decisions based on statistical evidence rather than intuition.
"The proof is in the pudding."
This saying means that the true value or quality of something can only be judged from practical experience or results, often backed by statistics.
"Crunch the numbers."
This phrase suggests that one should analyze numerical data to draw conclusions or make decisions.
"To put the statistics in perspective."
The term "classification" originates from the late Middle English "classificacioun" derived from the Latin "classificatio", which means "to arrange into classes". The word "statistics" comes from the New Latin "statisticus", meaning "of states", which was used in the context of state affairs and later evolved to refer to numerical data and analysis.
Synonyms: - Categorization statistics - Classifying metrics - Classification metrics
Antonyms: - Declassification - Random distribution statistics