The 'blood-transfusion-service-center' dataset is a dataset that contains information related to blood donation. It's often used as a binary classification task to predict whether a blood donor will donate blood again. The dataset includes several features that provide insights into the donor's history and characteristics.

Your task is to solve a classification task using the 'blood-transfusion-service-center' dataset:

1. Use 3 different LogisticRegression models as base models. Each model must have different regularization parameters: 0.1, 1, and 10, respectively.
2. Use MLPClassifier as meta-model of an ensemble.
3. Create a base_models list containing all base models of the ensemble.
4. Finally, create a StackingClassifier model with specified base models and meta-model.