Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
training test_size = int(np.round(size * 0.2, 0)) # Split dataset into training and testing sets x_train = features[:-test_size].values y_train = label[:-test_size].values x_test = features[-test_size:].values y_test = label[-test_size:].values # Plotting the training set fig, ax =