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Question 1 of 4
The model is too complex
The model is underfitting the data
The model has captured all the noise in the data
The model has perfect accuracy on the training set
Question 2 of 4
Underfitting
Overfitting
Perfect predictions
Constant predictions
Question 3 of 4
To maximize both bias and variance
To minimize bias while maximizing variance
To find an optimal balance between bias and variance
To eliminate both bias and variance completely
Question 4 of 4
Low bias, low variance
High bias, low variance
Low bias, high variance
High bias, high variance