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NOTE; YOUR DEPENDENT VARIABLE Y is qualityHow do .pdf

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*******NOTE; YOUR DEPENDENT VARIABLE Y is 'quality'******** How do you create a code to make;1 (quality > 6) and 0 (quality < 7) Assess if there are any missing values Explore the information value and distribution of features using the pair plot. Develop logistic regression, kNN (optimize k), random forest, and boosted tree models to predict wine quality. Make sure to preprocess the data as needed by the respective models. Assess the performance of each model using the following metrics: Recall, Precision, F1, ROC AUC. Which is the best model based on ROC AUC? ******Read the first question carefully ***********.

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*******NOTE; YOUR DEPENDENT VARIABLE Y is 'quality'******** How do you create a code to make;1 (quality > 6) and 0 (quality < 7) Assess if there are any missing values Explore the information value and distribution of features using the pair plot. Develop logistic regression, kNN (optimize k), random forest, and boosted tree models to predict wine quality. Make sure to preprocess the data as needed by the respective models. Assess the performance of each model using the following metrics: Recall, Precision, F1, ROC AUC. Which is the best model based on ROC AUC? ******Read the first question carefully ***********

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