?一：false_positive是什么意思（中英文）解釋的意思：

false_positive是指在二元分類(lèi)（binary classification）中，模型預(yù)測(cè)為正類(lèi)（positive class）但實(shí)際上是負(fù)類(lèi)（negative class）的情況。即模型錯(cuò)誤地將負(fù)類(lèi)樣本預(yù)測(cè)為正類(lèi)，造成誤判的情況。這種錯(cuò)誤預(yù)測(cè)也被稱為假陽(yáng)性（false positive），與之相對(duì)應(yīng)的是假陰性（false negative）。

False positive is a term used in binary classification, referring to the situation where a model predicts a positive class but it is actually a negative class. In other words, the model mistakenly predicts a negative sample as positive, resulting in a false judgment. This type of incorrect prediction is also known as false positive, and it is opposite to false negative.

二：怎么讀（音標(biāo)）：

false_positive [f??ls pɑ?z?t?v]

三：用法：

false_positive通常用于評(píng)估機(jī)器學(xué)習(xí)模型的性能，特別是在醫(yī)學(xué)診斷、安全檢測(cè)等領(lǐng)域。它可以幫助我們了解模型在不同閾值下的表現(xiàn)，并且可以通過(guò)調(diào)整閾值來(lái)降低誤判率。

False positive is commonly used to evaluate the performance of machine learning models, especially in fields such as medical diagnosis and security detection. It can help us understand the performance of the model at different thresholds and can be reduced by adjusting the threshold.

四：例句1-5句且中英對(duì)照：

1. The new algorithm significantly reduces the false positive rate in detecting cancer cells.（新算法大大降低了癌細(xì)胞檢測(cè)中的假陽(yáng)性率。）

2. The security system has been updated to minimize false positives and improve accuracy.（安全已經(jīng)更新，以最小化假陽(yáng)性并提高準(zhǔn)確性。）

3. It is important for doctors to consider both false positives and false negatives when interpreting medical test results.（醫(yī)生在解讀醫(yī)學(xué)檢測(cè)結(jié)果時(shí)，需要同時(shí)考慮假陽(yáng)性和假陰性。）

4. The model has a high precision but a relatively high false positive rate, which may lead to unnecessary interventions.（該模型具有較高的精確度，但假陽(yáng)性率相對(duì)較高，可能導(dǎo)致不必要的干預(yù)。）

5. The team is working on optimizing the model to reduce the number of false positives in real-time detection.（團(tuán)隊(duì)正在努力優(yōu)化模型，以減少實(shí)時(shí)檢測(cè)中的假陽(yáng)性數(shù)量。）

五：同義詞及用法：

與false_positive相關(guān)的同義詞包括錯(cuò)誤陽(yáng)性（incorrect positive）、誤報(bào)（false alarm）等。它們都指的是模型錯(cuò)誤地將負(fù)類(lèi)樣本預(yù)測(cè)為正類(lèi)的情況。

Related synonyms of false_positive include incorrect positive, false alarm, etc. They all refer to the situation where a model mistakenly predicts a negative sample as positive.

六：編輯總結(jié)：

false_positive是指二元分類(lèi)中模型錯(cuò)誤地將負(fù)類(lèi)樣本預(yù)測(cè)為正類(lèi)的情況，也被稱為假陽(yáng)性。它通常用于評(píng)估機(jī)器學(xué)習(xí)模型的性能，并且可以通過(guò)調(diào)整閾值來(lái)降低誤判率。同義詞包括錯(cuò)誤陽(yáng)性、誤報(bào)等。在使用過(guò)程中，我們需要注意平衡假陽(yáng)性和假陰性，以達(dá)到最佳的預(yù)測(cè)效果。