Wine Quality Ordinal Regression Challenge
Welcome to the 2026 Kaggle Playground Series! This episode invites participants to use regression techniques to predict the quality of wine based on various properties provided in tabular data.
Your Goal: For this Episode of the Series, your task is to use regression to predict the quality of wine based on various properties. Good luck!
Evaluation: Submissions are scored based on the quadratic weighted kappa, which measures the agreement between two outcomes. This metric typically varies from 0 (random agreement) to 1 (complete agreement). In the event that there is less agreement than expected by chance, the metric may go below 0.
The quadratic weighted kappa is calculated using an N x N histogram matrix O constructed from actual and predicted values, a matrix of weights w based on the difference between these values, and an N-by-N matrix of expected outcomes E assuming no correlation between values.