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Machine Learning-25-26
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A “decision stump” is a term often used in
Boosting algorithms. What is it?
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The first step in the K-Means algorithm is to:
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For a regression tree, what metric is
typically used to evaluate a split?
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After performing PCA, the first principal component (PC1) is
the direction in the data that:
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In a decision tree, a “leaf node” (or terminal node)
represents:
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A confusion matrix for a binary classifier shows
the following: True Positives (TP) = 50, False Positives (FP) = 10. What
is the precision of the model?
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The “One-vs-Rest” (OvR) strategy is used to adapt
SVM for which type of problem?
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Bagging is an ensemble technique that is most
effective at:
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What does the ‘C’ hyperparameter in a standard SVM
implementation control?
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The principal components generated by PCA are
guaranteed to be:
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