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Machine Learning Algorithms | Ainur Mukashova
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10. The thresholding step in multi-label prediction refers to:
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3. Which loss function is typically used for multi-label classification with neural networks?
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5. What happens when two features are perfectly correlated in PCA?
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10. When using PCA for visualization, what might a scatterplot of the first two components show?
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9. The AUC (Area Under Curve) of 1.0 means:
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6. What is the main advantage of using neural networks with sigmoid activation in the output layer for multi-label tasks?
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1. What is the primary goal of text generation models?
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10. Which technique can help mitigate class imbalance in multi-label datasets?
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3. Why must data be centered before applying PCA?
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8. What is the main drawback of greedy decoding in text generation?
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