We have tested our Classical and Quantum Logistic Regression models on the credit card dataset, and we have compared different ML algorithms and found out that both QML and CML have their positives. Now, it is time to explore more algorithms, compare them, and find out which is performing better. Try to find different datasets on Kaggale.
Please answer the following questions:
(i) Which ML algorithms work well on what type of data sets?
(ii) Which is better, QML or CML?
(iii) Try using a different dataset for Quantum Logistic Regression, and compare and analyze the performance between Logistic Regression and Quantum Logistic Regression models on that dataset.