Amazon Machine Learning - Numeric Regression Demo

This demo allows you to interactively predict the quality of a wine according to answers provided on predictor variables such as density, alcohol, pH, etc.
It sends realtime prediction requests to an Amazon Machine Learning endpoint trained according to The Wine Quality Dataset, a public dataset that contains observations on 11 variables for 4898 wine samples scored from 0 (“poor quality”) to 100 (“exceptional quality”).

Numeric Regression Demo

Wine Quality Prediction

1.Fixed Acidity:

Numeric Regression Demo

Wine Quality Prediction

1.Fixed Acidity:

2.Volatile Acidity:

3.Citric Acid:

4.Residual Sugar:

5.Chlorides:

6.Free Sulfur Dioxide:

7.Total Sulfur Dioxide:

8.Density:

9.pH:

10.Sulfates:

11.Alcohol: