updated translation files

Author: github-actions

inst/po/en@quot/LC_MESSAGES/R-jaspMachineLearning.mo

@@ -2114,14 +2114,6 @@ msgctxt "ModelPerformance|"
 msgid "Model performance"
 msgstr "Modell-Leistung"
 
-msgctxt "ModelPerformance|"
-msgid ""
-"Displays available model performance metrics. For regression, these metrics "
-"include mean squared error (MSE), root mean squared error (RMSE), R<sup>2</"
-"sup> and more. For classification, these metrics include precision, recall, "
-"the F1-score, support, AUC (area under the ROC curve) and more."
-msgstr ""
-
 #, fuzzy
 msgctxt "ClusterDetermination|"
 msgid "Cluster Determination"
@@ -3218,3 +3210,12 @@ msgstr ""
 msgctxt "Description|"
 msgid "Unsupervised Learning"
 msgstr ""
+
+msgctxt "ModelPerformance|"
+msgid ""
+"Displays available model performance metrics. For regression, these metrics "
+"include mean squared error (MSE), root mean squared error (RMSE), R<sup>2</"
+"sup> and more. For classification, these metrics include precision, recall, "
+"the F1-score, support, AUC (area under the ROC curve) and more. For "
+"clustering, these metrics include entropy, Dunn index and more."
+msgstr ""

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

@@ -2101,19 +2101,6 @@ msgctxt "ModelPerformance|"
 msgid "Model performance"
 msgstr "Capacidad del modelo"
 
-msgctxt "ModelPerformance|"
-msgid ""
-"Displays available model performance metrics. For regression, these metrics "
-"include mean squared error (MSE), root mean squared error (RMSE), R<sup>2</"
-"sup> and more. For classification, these metrics include precision, recall, "
-"the F1-score, support, AUC (area under the ROC curve) and more."
-msgstr ""
-"Presenta las métricas disponibles de la capacidad del modelo. Para la "
-"regresión, estas métricas incluyen el Error Cuadrado Medio (ECM, MSE), Raíz "
-"del Error Cuadrado Medio (RECM, RMSE), R<sup>2</sup> y otros. Para la "
-"clasificación, estas métricas incluyen precisión, recuerdo, la puntuación "
-"F1, soporte, ABC (AUC, área bao la curva ROC) y otros."
-
 msgctxt "ClusterDetermination|"
 msgid "Cluster Determination"
 msgstr "Determinación de Conglomerados"
@@ -3299,3 +3286,12 @@ msgstr "Aprendizaje supervisado"
 msgctxt "Description|"
 msgid "Unsupervised Learning"
 msgstr "Aprendizaje no supervisado"
+
+msgctxt "ModelPerformance|"
+msgid ""
+"Displays available model performance metrics. For regression, these metrics "
+"include mean squared error (MSE), root mean squared error (RMSE), R<sup>2</"
+"sup> and more. For classification, these metrics include precision, recall, "
+"the F1-score, support, AUC (area under the ROC curve) and more. For "
+"clustering, these metrics include entropy, Dunn index and more."
+msgstr ""