The Benefits of Logistic Regression for Machine Learning and Classification

Cross validation is taking the training set and breaking it into folds. It looks to see how well the model is performing overall with different random configurations of data. That gives you kind of an idea whether your your model will predict well with and generalize data in production. The higher percentage was used to get the win and the Kaggle competitions.