Machine Learning, Data Science, Python, Support Vector Machine, Artificial Intelligence.
to start, & test our model’s score. We end up with a score of .93, which is solid. By the way, sklearn has auto values to use for C & gamma if we do not explicitly state them. from sklearn.model_selection import train_test_split from sklearn.svm import SVC x = df.drop(['target','flower_name'],