Hey guys, welcome back. In this video, I will review exercise three in section four. And this exercise asks you to compare your results on the Pima Indian data set classification, with the results presented in a notebook on the Kaggle website. In this website, they use different machine learning techniques and they built a model to predict the same outcome you are trying to predict. So the question you're asked is are neural networks better or worse in this particular case? 

And you can try comparing your results also with the few models from psychic learn for example, a support vector machine or a random forest, and on the exact same train/test split. So I'm not going to tell you if the performance is worse or better, that's for you to find out. Also, we ask you to try restricting your features to only four features like in the suggested notebook. And how does the model performance change? You can test this for your model, the neural network, but also for the models like the random forest and the support vector machine. So, try to do the exercise first, and then feel free to watch the solution in the next video. Good luck.