SECTION A: Create a new pipeline in Azure Machine Learning Studio using the Designer interface and prebuilt components to train a machine learning model on the sample dataset adult$\_$census$\_$income$\_$binary$\_$classification. $(30\%)$

$1.$

Describe the dataset in detail. Include information such as the number of records, the nature of the data $($e$.$g$.,$ categorical, numerical$),$ and any relevant statistics or distributions that provide insights into the dataset. $(10\%)$

$2.$

Identify and define the label, which is the dependent variable you aim to predict with your model. Also, list and describe the features, or independent variables, that will be used to train the model. $(10\%)$

$3.$

Specify whether your label is binary or continuous. Based on this, select a machine learning algorithm to use for training your model. Justify your choice of algorithm in relation to the type of label and the characteristics of the dataset $(10\%)$