For each of the statements below state True T or False F or pick the...
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For each of the statements below state True T or False F or pick the correct option Explain your answer in 1 2 sentences For every part below 1 point for correct assertion and 1 point for correct explanation a T F Ridge regression does not have a closed form solution b T F If we have m values for a hyperparameter of a classifier and we use k fold cross validation for hyperparameter tuning then we train the classifier mk times from scratch c T F Consider a linear function basis o x 1 log x x2r3 where x R There exists a closed form solution for minimizing the mean squared error for the hypothesis he x eTo x If True state the solution Otherwise give a justification d Which of the following is a major drawback of linear regression A It assumes a linear relationship between the independent and dependent variables B It can handle only numerical data C It is not suitable for high dimensional data D It is prone to overfitting E None of the above e Which of the following is a common method for preventing overfitting in machine learning A Increasing the complexity of the model B Decreasing the size of the training data set C Regularization D Using a simpler evaluation metric
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