Bowles_5.2_wine: Multivariable Regression: Predicting Wine Taste

Listing 5-1: Using Cross-Validation to Estimate Out-of-Sample Error with Lasso Modeling Wine Taste—wineLassoCV.py

• Figure 5-1: ... un-normalized Y
• Figure 5-2: ... normalized Y
• Figure 5-3: ... un-normalized X and Y

Listing 5-2: Lasso Training on Full Data Set—wineLassoCoefCurves.py

• Figure 5-4: Coefficient curves for Lasso trained to predict wine quality
• Figure 5-5: Coefficient curves for Lasso trained on un-normalized Xs

Listing 5-3: Using Out-of-Sample Error to Evaluate New Attributes for Predicting Wine Quality—wineExpandedLassoCV.py

• Figure 5-6: Cross-validation error curves for Lasso trained on wine quality data with expanded feature set