a) Choose the correct answer (4) Poin 1. For Data Science Project Life Cycle, which stage next to Data Cleaning: i. Data Acquisition ii. Design Model Features iii. Building the Model iv. Deploy to Production 2. In machine learning, a training dataset contains a set of each is comprised of features and a target variables. i. Columns ii. Fields iii. Instances iv. Predictors 3. In the classification problem, the target variable is a variable i. Float ii. Categorical iii. Double iv. Long 4. techniques attempt to discern results and learn by trying to find patterns in a labeled data set, where the human interaction is required to label the data i. Unsupervised learning ii. Clustering iii. Semi-supervised learning iv. Supervised learning 5. measures how big the average error of your prediction is. i. The false positive rate ii. The mean squared error iii. The accuracy iv. The true positive rate