Data Science, Machine Learning, Support Vector Machine, Python.
model_svm = SVC(C=1.0, kernel='rbf', degree=3, gamma='scale', tol=1e-3, max_iter=-1) # Fit the model model_svm.fit(X_train, y_train) # Predict labels y_pred = model_svm.predict(y_test) Really simple, don’t you think? Well, now you know what could be happening behind that elegant, simple and