Y12 EC Unit 1 Data Science Week 10 PostQuiz

What is the primary role of machine learning in data analytics?

• Organizing data storage

• Cleaning raw data

• Analyzing and predicting patterns in large datasets

• Transferring data between systems

Which of the following best defines a statistical model?

• A graphical representation of data

• A mathematical formula used to represent relationships between variables

• A system for storing large volumes of data

• A machine learning algorithm for training data

In machine learning, what is the purpose of a training dataset?

• To test the algorithm's accuracy

• To help the algorithm learn patterns in the data

• To ensure the data is clean and formatted

• To store the predictions made by the model

Which type of machine learning is primarily used when the outcome variable is known?

• Unsupervised learning

• Supervised learning

• Reinforcement learning

• Deep learning

Which of the following is a common use of statistical modeling in data analytics?

• Generating reports

• Estimating future trends based on historical data

• Storing unstructured data

• Visualizing data

Which of the following is an example of supervised learning?

• Clustering customer data into segments

• Predicting house prices based on historical data

• Grouping data based on similarity

• Finding hidden patterns in data without labeled outcomes

What is overfitting in machine learning?

• A model that performs poorly on training data

• A model that performs well on new, unseen data

• A model that is too complex and fits noise in the training data

• A model that generalizes well to unseen data

Which of the following is a method used to prevent overfitting?

• Using a larger training dataset

• Increasing the complexity of the model

• Ignoring missing values

• Using a simple linear regression model

In machine learning, what does the term "feature" refer to?

• The outcome variable

• A type of machine learning algorithm

• An individual measurable property or characteristic of the data

• The training dataset

Which of the following is a commonly used algorithm in supervised learning?

• K-means clustering

• Decision trees

• Principal Component Analysis (PCA)

• Hierarchical clustering