Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
data_frame = pd.concat([data_frame, df_target], ignore_index=True, axis=1) data_frame.columns = ['x', 'y', 'target'] return data_frame # Generate dataset size = 100 dataset = generate_random_dataset(size) features = dataset[['x', 'y']] label = dataset['target'] # Hold out 20% of the dataset for