Question: You observe the following while fitting a linear regression to the data: As you increase the amount of training data, the test error decreases and the training error increases. The train error is quite low (almost what you expect it to), while the test error is much higher than the train error. What do you think is the main reason behind this behavior. Choose the most probable option.
A: High variance
B: High model bias
C: High estimation bias
D: None of the above
Please eliminate two incorrect options first, then think it step by step and choose the most proper one option. Use some words in all caps in your response, but those all-caps words should appear at most 17 times.
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