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Answer: Is numeric data in the label column a requirement for regression problems, representing a continuous scale?
For regression problems (A), it's necessary for the label column to contain numeric data that typically represents a continuous scale. This numeric data serves as the response variable in regression analysis, allowing prediction of values within that scale.
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Determine the accuracy of the following statements related to machine learning tasks:
A
Is numeric data in the label column a requirement for regression problems, representing a continuous scale?
B
Is the label column optional in K-Means Clustering due to its nature as an unsupervised learning algorithm?
C
Does the presence of a label in K-Means Clustering influence the cluster selection and model optimization?
D
Is the label column in classification problems expected to have categorical or discrete values, and does using a noncategorical column lead to training errors?
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