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Questions and Answers
What is the main benefit of using Polynomial Regression?
What is the main benefit of using Polynomial Regression?
- It requires a linear relationship between variables
- It simplifies the model by reducing the number of features
- It is computationally less expensive than linear regression
- It can capture more complex relationships in the data (correct)
In terms of Bias vs Variance trade-off, what does high bias indicate?
In terms of Bias vs Variance trade-off, what does high bias indicate?
- Underfitting
- Overfitting
- Model is too complex
- Model is too simple (correct)
What is the purpose of Regularization in machine learning models?
What is the purpose of Regularization in machine learning models?
- To introduce more noise into the data
- To speed up the training process
- To increase model complexity
- To reduce model complexity to prevent overfitting (correct)
Which machine learning technique is suitable for handling non-linear decision boundaries?
Which machine learning technique is suitable for handling non-linear decision boundaries?
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What is the key limitation of Linear Regression modeling?
What is the key limitation of Linear Regression modeling?
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Which technique focuses on grouping data points based on their similarity?
Which technique focuses on grouping data points based on their similarity?
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In what kind of learning do we know the labels for the input data during training?
In what kind of learning do we know the labels for the input data during training?
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Which technique is used for dimensionality reduction in machine learning?
Which technique is used for dimensionality reduction in machine learning?
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What is the primary objective of Ensemble Methods in machine learning?
What is the primary objective of Ensemble Methods in machine learning?
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