Use Python in Google Colab to load the Breast Cancer dataset and compare the performance of a Ensemble Learning $($GradientBoostingClassifier$)$ and$$Neural Network. You will analyze their accuracy and generate a confusion matrix for each model.

Expected Output

$1.$ Accuracy and confusion matrix for both Ensemble Learning and Neural Network.

$2.$ Compare the accuracy and confusion matrices of both models.

$3.$ Write a brief summary discussing which model performed better on the Breast Cancer dataset.