In May 2016, Sotheby’s New York auctioned 20,000 bottles of fine and rare wine. The seller was billionaire collector William Koch. The cellar went for $21.9 million, exceeding the high presale assessment by 46 percent. And amongst the star wines sold were ten bottles of Château Mouton-Rothschild 1945. They went for $343,000, hence doubling the presale estimate of $120,000.
With a dataset comprising the physicochemical information about different types of wines, we asked TADA to predict the future wine quality by sorting them into three categories: good, bad, and average.
The physicochemical criteria are the following:
This challenge raises the following wine question:
Can we predict which young wines are going to become stars?
TADA managed to identify which wines were going to become good, which wines were going to become bad, and which wines would become average with an accuracy of 91%, a MCC of 85%, and a Cohen’s Kappa coefficient of 85%.
TADA gives the means to identify, among young wines, which one will be the next Château Mouton-Rothschild 1945.
TADA has selected seven main Physico-chemical criteria out of the eleven available in the dataset to make its decision, with variable global influence on the final classification. They are the following:
In two days, wine buyers obtained: