SOLVED: 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. High varianceHigh model biasHigh estimation biasNone of the above
SOLVED: You observe the following while fitting a linear regression to …
Jun 6, 2023
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