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1
What is Support in a Classification Report?
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2
What is ROC-AUC? (Full form)
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3
How do you interpret the ROC-AUC score?
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4
What is Correlation?
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5
What do you infer from a Correlation Matrix?
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6
Explain Decision Tree working in depth.
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7
What are the assumptions of Linear Regression?
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8
What is the Curse of Dimensionality?
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9
How does Dimensionality Reduction work?
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10
Does dimensionality reduction remove/discard data points?
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11
What is random_state=42?
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12
Why is 42 commonly used?
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13
Why choose a learning rate like 0.01 / 0.1 / 0.2 instead of 1 / 2 / 3?
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14
What is the objective of your project?
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15
What is a Loss Function?
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16
What properties should a good loss function have?
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17
Explain Bias vs Variance.