Subject Name : 2023 Sep03: IIT M DIPLOMA ET1 EXAM - 03 Sep 2023

MLT End Term17 questions100 marks8 MSQ · 5 SA · 4 MCQDiploma

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Hint: Assume that these are only two possible words (that is there are only two features) question figure

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Which of the following statements is/are true?

Ridge regression and Lasso regression both puts a limit on the length ofweight vector.
Ridge regression puts limit on length of the weight vector but LASSOregression does not put a limit on weight vector length.
When many features are redundant, then LASSO regression is moreappropriate than ridge regression and linear regression as LASSO regression produces sparseweights for those features.
When many features are redundant, then linear regression is moreappropriate than ridge regression and LASSO regression

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Which of the following statements is/are true about the K-NN algorithm?

K-NN is sensitive to outliers in the dataset.
K-NN is a supervised learning algorithm used for classification.
K-NN assigns class labels to new instances based on a decision boundary learned from thetraining data.
The training dataset is not required while predicting the label of a test-point inthe K-NN algorithm.

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