Challenge: Solving Task Using Regularisation

Your task is to create a classification model using L2 regularization on the breast_cancer dataset. It contains features computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. The task associated with this dataset is to classify the breast mass as malignant (cancerous) or benign (non-cancerous) based on the extracted features.

Your task is to:

1. Specify argument at the LogisticRegression() constructor:
   • specify penalty argument equal to l2;
   • specify C argument equal to 1.
2. Fit regularized model on the training data.