I am trying to make predictions for the iris dataset. I have decided to use svms for this purpose. But, it gives me an accuracy 1.0. Is it a case of overfitting or is it because the model is very good? Here is my code. X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0) svm_model = svm.SVC(kernel='linear', C=1,gamma='auto') svm_model.fit(X_train,y_train) predictions = svm_model.predict(X_test) accuracy_score(predictions, y_test) Here, accuracy_score returns a value of 1. Please help me. I am a beginner in machine learning. Continue reading...
