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This data set has 312912 rows and 14 columns. for our Prediction we worked with just two columns, which are the issue columns later renamed to Consumer_complaint_narrative as the text features and the product column as the target(label), and our generating predictive model will be MultinomialNB under naives bayes classifier

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OLAMIDE100/Prediction-of-Client-Compliant-Category

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Prediction-of-Client-Compliant-Category


This data set has 312912 rows and 14 columns. for our Prediction we worked with just two columns, which are the issue columns later renamed to Consumer_complaint_narrative as the text features and the product column as the target(label), and our generating predictive model will be MultinomialNB under naives bayes classifier


Data Dictionary for this prediction

Column Position Atrribute Name Definition Data Type
2 PRODUCT COMPLIANT CATEGORY Qualitative
3 ISSUES Consumer complaint narrative Qualitative

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This data set has 312912 rows and 14 columns. for our Prediction we worked with just two columns, which are the issue columns later renamed to Consumer_complaint_narrative as the text features and the product column as the target(label), and our generating predictive model will be MultinomialNB under naives bayes classifier

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