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Participated in Edgeverve machine learning challenge and able to achieve 100% accuracy score on test data. Curious to know how ?

About the Data:

Data consists of Invoice details for multiple customers as described below:

  • Inv_ID (Invoice ID) : Unique number representing Invoice created by supplier/vendor
  • Vendor Code (Vendor ID) : Unique number representing Vendor/Seller in the procurement system
  • GL_Code: Account’s Reference ID
  • Inv_Amt : Invoice Amount
  • Item Description : Description of Item Purchased Example: “Corporate Services Human Resources Contingent Labor/Temp Labor Contingent Labor/Temp Labor”
  • Product Category : Category of Product for which Invoice is raised A pseudo product category is represented in the dataset as CLASS-???, where ? is a digit.

Task:

Our task to predict ‘Product Category’ for the given invoice information.

Evaluation Metric:

Evaluation metric for this problem is Accuracy Score

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