ToolPythonBeginner
Classification with scikit-learn: telling two populations apart
- mu_signal = np.array([1.6, 220.0])
- mu_background = np.array([0.0, 200.0])
- cov = np.array([[1.0, 25.0], # x1 has sd 1, x2 has sd 50,
- cv_mean, cv_sd, train_acc = 100 * np.array(cv_mean), 100 * np.array(cv_sd), 100 * np.array(train_acc)
- acc = np.array([100 * m.score(X_test, y_test) for m in results.values()])