Suppose you are training a linear regression model. Now consider these points.
1. Overfitting is more likely if we have less data
2. Overfitting is more likely when the hypothesis space is small.Which of the above statement(s) are correct?

A. training based on historical data B. prediction to answer a query C. both A and B D. automization of complex tasks

A. scalable B. accuracy C. fast D. all of the above

A. machine learning model B. machine learning algorithm C. null D. accuracy

A. data mining. B. artificial intelligence C. big data computing D. internet of things