updated translation files

Author: github-actions

inst/po/tr/LC_MESSAGES/R-jaspMachineLearning.mo

@@ -1,15 +1,9 @@
 msgid ""
 msgstr ""
-"PO-Revision-Date: 2025-07-23 07:39+0000\n"
-"Last-Translator: Yu Gong <[email protected]>\n"
-"Language-Team: Chinese (Simplified Han script) <https://hosted.weblate.org/"
-"projects/jasp/jaspmachinelearning-qml/zh_Hans/>\n"
-"Language: zh_Hans\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=UTF-8\n"
 "Content-Transfer-Encoding: 8bit\n"
 "Plural-Forms: nplurals=1; plural=0;\n"
-"X-Generator: Weblate 5.13-dev\n"
 "X-Language: zh_Hans\n"
 "X-Qt-Contexts: true\n"
 
@@ -2995,7 +2989,8 @@ msgid ""
 "In classification analyses, append the predicted probabilities for each "
 "class to the data. For neural networks, this option provides the output of "
 "the final layer."
-msgstr "在分类中，将每个类的概率添加到数据中。对于神经网络，其最后一层的输出数据中添"
+msgstr ""
+"在分类中，将每个类的概率添加到数据中。对于神经网络，其最后一层的输出数据中添"
 "加概率。"
 
 msgctxt "Description|"
@@ -3014,7 +3009,6 @@ msgid ""
 "the F1-score, support, AUC (area under the ROC curve) and more. For "
 "clustering, these metrics include entropy, Dunn index and more."
 msgstr ""
-"显示模型的性能指标。对于回归，指标包括均方误差 （MSE）、均方根误差 "
-"（RMSE）、R<sup>2</sup> 等。对于分类，包括精度、召回率、F1 "
-"分数、支持度、AUC（ROC 曲线下面积）等。对于聚类，这些指标包括熵、Dunn "
-"指数等。"
+"显示模型的性能指标。对于回归，指标包括均方误差 （MSE）、均方根误差 （RMSE）、"
+"R<sup>2</sup> 等。对于分类，包括精度、召回率、F1 分数、支持度、AUC（ROC 曲线"
+"下面积）等。对于聚类，这些指标包括熵、Dunn 指数等。"