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Machine Learning Algorithms | Ainur Mukashova
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7. Whitening in PCA refers to:
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9. In deep learning, a sigmoid cross-entropy loss is preferred for multi-label classification because:
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4. What happens when temperature = 0 in text generation?
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7. The “classifier chain” method improves on binary relevance by:
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4. In multi-label learning, what does the Jaccard Similarity (Intersection over Union) measure?
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5. F1-score is the harmonic mean of:
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8. The ROC curve plots:
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2. Which algorithm modification allows logistic regression to perform multi-label classification?
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2. What is the mathematical operation that determines the principal components?
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4. Which statement about eigenvalues in PCA is TRUE?
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