Wine Data Set
Classify wine grown in Italy
Data Set Information:
These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.
We think that the initial data set had around 30 variables, but for some reason I only have the 13 dimensional version. We had a list of what the 30 or so variables were, but a.) we lost it, and b.), we would not know which 13 variables are included in the set.
The attributes are (dontated by Riccardo Leardi, riclea '@' anchem.unige.it )
The evaluation of this dataset is done using Area Under the ROC curve (AUC).
Interpreting the AUROC
Computing the AUROC
Source : http://stats.stackexchange.com/questions/132777/what-does-auc-stand-for-and-what-is-it
- Use of external data is not permitted. This includes use of pre-trained models.
- Hand-labeling is allowed on the training dataset only. Hand-labeling is not permitted on test data and will be grounds for disqualification.
|1||super||0.51948052||1||Dec. 30, 2018, 5:28 p.m.|
Forina, M. et al, PARVUS -
An Extendible Package for Data Exploration, Classification and Correlation.
Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno,
16147 Genoa, Italy.
Stefan Aeberhard, email: stefan '@' coral.cs.jcu.edu.au