. These data are the results of a chemical analysis of 178 wines grown over the decade 1970-1979 in the same region of Italy, but derived from three different cultivars (Barolo, Grignolino, Barbera). The Babera wines were predominately from a period that was much later than that of the Barolo and Grignolino wines. The analysis determined the quantities MalicAcid, Ash, AlcAsh, Mg, Phenols, Proa, Color, Hue, OD, and Proline. There are 50 Barolo wines, 71 Grignolino wines, and 48 Barbera wines. Construct the appropriate-size classification tree for this dataset. Apply an ensemble technique (e.g., random forests or boosting). Compare the performance

https://archive.ics.uci.edu/ml/datasets/wine

https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.names

https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data