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small tweak
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src/locales/en.json

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"cartModelDescription": "The CART (Classification and Regression Trees) method generates synthetic data by learning patterns from real data through a decision tree that splits data into homogeneous groups based on feature values. It predicts averages for numerical data and assigns the most common category for categorical data, using these predictions to create new synthetic points.",
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"evaluationOfGeneratedDataTitle": "3. Evaluation of generated data",
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"outputDataTitle": "4. Output data",
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"diagnosticsTitle": "Diagnostic Results:",
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"diagnosticsTitle": "Diagnostic Results",
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"correlationDifference": "Correlation difference: {{correlationDifference}}"
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},
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src/locales/nl.json

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"cartModelDescription": "De CART-methode (Classification and Regression Trees) genereert synthetische data door patronen uit echte data te leren via een beslisboom die de data opdeelt in homogene groepen op basis van kenmerkwaarden. Voor numerieke data voorspelt de methode gemiddelden, en voor categorische data wijst het de meest voorkomende categorie toe. Deze voorspellingen worden vervolgens gebruikt om nieuwe synthetische gegevenspunten te creëren.",
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"evaluationOfGeneratedDataTitle": "3. Evaluatie van gegenereerde data",
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"outputDataTitle": "4. Output data",
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"diagnosticsTitle": "Diagnostische Resultaten:",
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"diagnosticsTitle": "Diagnostische Resultaten",
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"correlationDifference": "Correlatie verschil: {{correlationDifference}}"
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},
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"biasAnalysis": {

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