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Data Science / Datawetenskap - 141
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What is the primary goal of variable selection in statistical learning?
What is the main purpose of splitting a data set into a training and test component?
Which of the following is the default distance method used by the dist() function in R?
Consider the following two observations, with measurements for five variables:
Calculate the Jaccard distance between observation 1 and observation 2.
Consider the following two observations, with measurements for four variables:
Calculate the maximum distance between observation 1 and observation 2.
Consider the following two observations, with measurements for four variables:
Calculate the Manhattan distance between observation 1 and observation 2.
What is the Levenshtein distance between "halo" and "hello"?
Levenshtein distance is one of the family of edit distance metrics and is often used in natural language processing to measure the difference between two string sequences.
k-nearest neighbour techniques are computationally efficient in the prediction phase.
In a k-nearest neighbours classification setting, using k = n (where n is the number of observations in the data set), means that the majority class is predicted for every observation.