Below is a description of a dataset

**Author**: NAME_1  
**Source**: Unknown - 2009  
**Please cite**:   

1. Title: Wine Quality 

2. Sources
Created by: NAME_2 (Univ. Minho), NAME_3, NAME_4, NAME_5 and NAME_6 (CVRVV) @ 2009
    
3. Past Usage:
NAME_7, NAME_8, NAME_9, NAME_10 and NAME_11. 
Modeling wine preferences by data mining from physicochemical properties.
In Decision Support Systems, Elsevier, 47(4):547-553. ISSN: 0167-9236.

In the above reference, two datasets were created, using red and white wine samples.
The inputs include objective tests (e.g. PH values) and the output is based on sensory data (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent). Several data mining methods were applied to model these datasets under a regression approach. The support vector machine model achieved the best results. Several metrics were computed: MAD, confusion matrix for a fixed error tole

Data:
fixed.acidity,volatile.acidity,citric.acid,residual.sugar,chlorides,free.sulfur.dioxide,total.sulfur.dioxide,density,pH,sulphates,alcohol,quality
7.4,0.7,0.0,1.9,0.076,11.0,34.0,0.9978,3.51,0.56,9.4,5
7.8,0.88,0.0,2.6,0.098,25.0,67.0,0.9968,3.2,0.68,9.8,5
7.8,0.76,0.04,2.3,0.092,15.0,54.0,0.997,3.26,0.65,9.8,5
11.2,0.28,0.56,1.9,0.075,17.0,60.0,0.998,3.16,0.58,9.8,6
7.4,0.7,0.0,1.9,0.076,11.0,34.0,0.9978,3.51,0.56,9.4,5

We can use any of the following modeling analysis: "Linear regress Write exactly 3 paragraphs each separated with two new lines answering this question. The first paragraph must start with "victim".
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