Data Science, Data Analysis, Machine Learning, Statistics, Data Visualization.
import SVC from sklearn.metrics import accuracy_score # Load a dataset (for example, the Iris dataset) iris = datasets.load_iris() X = iris.data[:, :2] # Using only the first two features for simplicity y = iris.target # Split the data into training and testing sets X_train, X_test, y_train, y_test