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The credit data file contains 1000 observations (records) of individuals who applied for loans. There are nine variables including the numeric variable Age and the

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The credit data file contains 1000 observations (records) of individuals who applied for loans. There are nine variables including the numeric variable Age and the categorical variable Risk. Create a Classification Decision Tree to predict Risk Use the first 800 records for the training data and the last 200 records for the evaluation data as shown below. trainingData [0(1:800), evaluationData

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