← SetsData Science & Analytics — Set 6
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Data Science & Analytics Practice Questions — Set 6
10 free Data Science & Analytics reviewer questions with answers and explanations. Pindutin ang sagot mo para makita agad kung tama — kasama na ang paliwanag. Set 6 of 8.
51
Which machine learning task involves predicting discrete class labels?
52
What is the primary purpose of splitting data into training and testing sets?
53
Which metric is most appropriate for evaluating a classification model with highly imbalanced classes?
54
What problem does k-fold cross-validation primarily address?
55
Which algorithm is commonly used for clustering in unsupervised learning?
56
What does the term "overfitting" mean in machine learning?
57
Which regularization technique adds the sum of absolute values of coefficients to the loss function?
58
What is the purpose of feature scaling in machine learning?
59
What distinguishes ensemble methods from single-model approaches in machine learning?
60