Use the breast cancer dataset from scikit-learn to perform a classification task. Write a function that loads the dataset and performs the following steps:

1. Split the data into training and testing sets.

2. Train a logistic regression model on the training data.

3. Use the trained model to make predictions on the testing data.

4. Evaluate the model using the accuracy, precision, recall, and F-1 metrics.

5. Extra credit: Use the 10-fold evaluation to replace the step1, and redo steps 2-4.

Hint: You can use the load_breast_cancer function from scikit-learn to load the dataset, the LogisticRegression class from scikit-learn to train the logistic regression model.