Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns winedata = pd.read_csv('./data/redwine.csv') Define the features and create the training and test sets. features = winedata.columns[:11] #Separate the predictors and the response first X = winedata[features] quality =