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BCSE334L Predictive Analytics (Theory) Fall 2025-26 (F1+TF1) [VL2025260101656]
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Cross-validation divides the dataset into:
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A model that always predicts the mean of target values has:
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Time series prediction focuses on:
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In classification, precision measures:
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Logistic regression predicts:
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Regularization techniques are used to:
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A confusion matrix is used to evaluate:
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Which library is widely used for predictive modeling in Python?
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Which of the following algorithms is best suited for classification problems?
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Which of these is NOT a step in predictive modeling?
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